plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | santhosh-kumar/MultiviewAppearanceTracker-master | showpairdict.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/internal/showpairdict.m | 1,187 | utf_8 | 0e7aa28f4d74056ed9c8799b423aa0f3 | % showpairdict(pd, sy, sx)
%
% Visualizes a few random elements from the paired dictionaries 'pd'. The
% parameters sy and sx are optional and specify the number of elements to show.
function im = showpairdict(pd, sy, sx),
if ~exist('sy', 'var'),
sy = 10;
end
if ~exist('sx', 'var'),
sx = 10;
end
hny = pd.ny;
hnx ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | reportcard.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/internal/reportcard.m | 750 | utf_8 | eeab549f9371d13c8d95f144e700bb86 | % reportcard(in, out, pd)
%
% Processes every image in input directory 'in' and outputs
% the inversion to 'out' using the paired dictionary 'pd'. This
% is useful for diagnosis purposes.
function reportcard(in, out, pd),
images = dir(in);
for i=1:length(images);
if ~images(i).isdir,
filepath = [in '/' images(i)... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | learnPLS_cpu.m | .m | MultiviewAppearanceTracker-master/lib/UnsupervisedDA_Grassmann/learnPLS_cpu.m | 2,774 | utf_8 | 95cbb3919b68c748fc54900e3e581be3 | function [T,P,W,Wstar,b,Xdata]= learnPLS_cpu(X,Y,numFactor)
% [T,P,W,Wstar,Xdata,Ydata]= learnPLS(X,Y,numFactor)
% PLS - NIPALS algorithm
% Compute the PLS coefficients
% Inputs:
% X - training data, N x d
% Y - training label, N x f
% numFactor - number of PLS factors
% Outputs:
% T ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | projectPLS_cpu.m | .m | MultiviewAppearanceTracker-master/lib/UnsupervisedDA_Grassmann/projectPLS_cpu.m | 674 | utf_8 | b0aae3caa556b8ce007394a9d39bfacf | function [WX]= projectPLS_cpu(X,W,Xdata)
% function [WX]= projectPLS_cpu(X,W,Xdata)
% PLS projection
% Inputs:
% X - training data, N x d
% W - projection matrix, d x f
% Xdata - mean and std of X, Xdata.mean & Xdata.std
%
% Outputs:
% WX - Projections X x W, N x f
%
X=zsco... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | drawEdge.m | .m | MultiviewAppearanceTracker-master/lib/geom2d/libGeom2d/geom2d/drawEdge.m | 3,223 | utf_8 | 6fb4f10c921d6882550b0d836ae20dc4 | function varargout = drawEdge(varargin)
%DRAWEDGE Draw an edge given by 2 points
%
% drawEdge(x1, y1, x2, y2);
% draw an edge between the points (x1 y1) and (x2 y2).
%
% drawEdge([x1 y1 x2 y2]) ;
% drawEdge([x1 y1], [x2 y2]);
% specify data either as bundled edge, or as 2 points
%
% The functi... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | enclosingCircle.m | .m | MultiviewAppearanceTracker-master/lib/geom2d/libGeom2d/geom2d/enclosingCircle.m | 1,877 | utf_8 | cc42da36eb019ff067ae5a02b00131de | function circle = enclosingCircle(pts)
%ENCLOSINGCIRCLE Find the minimum circle enclosing a set of points.
%
% CIRCLE = enclosingCircle(POINTS);
% compute cirlce CIRCLE=[xc yc r] which enclose all points POINTS given
% as an [Nx2] array.
%
%
% Rewritten from a file from
% Yazan Ahed (yash78@g... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | polynomialCurveSetFit.m | .m | MultiviewAppearanceTracker-master/lib/geom2d/libGeom2d/polynomialCurves2d/polynomialCurveSetFit.m | 5,584 | utf_8 | 8dc90a6635bc63b29724ba33fb521305 | function [coefs lblBranches] = polynomialCurveSetFit(seg, varargin)
%POLYNOMIALCURVESETFIT Fit a set of polynomial curves to a segmented image
%
% COEFS = polynomialCurveSetFit(IMG);
% COEFS = polynomialCurveSetFit(IMG, DEG);
% Result is a cell array of matrices. Each matrix is DEG+1-by-2, and
% contains ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | polynomialCurvePosition.m | .m | MultiviewAppearanceTracker-master/lib/geom2d/libGeom2d/polynomialCurves2d/polynomialCurvePosition.m | 2,965 | utf_8 | e8933d9b90e0b043fc8392746e0be496 | function pos = polynomialCurvePosition(tBounds, varargin)
%POLYNOMIALCURVEPOSITION Compute position on a curve for a given length
%
% POS = polynomialCurvePosition(T, XCOEF, YCOEF, L)
% XCOEF and YCOEF are row vectors of coefficients, in the form:
% [a0 a1 a2 ... an]
% T is a 1x2 row vector, containin... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | test_svm_struct_learn.m | .m | MultiviewAppearanceTracker-master/lib/svm_struct/test_svm_struct_learn.m | 2,768 | utf_8 | 77b05e94cc0f1852f38307edb7dd7197 | function test_svm_struct_learn
% TEST_SVM_STRUCT_LEARN
% A demo function for SVM_STRUCT_LEARN(). It shows how to use
% SVM-struct to learn a standard linear SVM.
randn('state',0) ;
rand('state',0) ;
% ------------------------------------------------------------------
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | test_svm_struct_learn_ker.m | .m | MultiviewAppearanceTracker-master/lib/svm_struct/test_svm_struct_learn_ker.m | 2,956 | utf_8 | b4755504de8b5a8234a199f09e26e89a | function test_svm_struct_learn_ker
% TEST_SVM_STRUCT_LEARN
% Test function for SVM_STRUCT_LEARN(). It shows how to use
% SVM-struct to learn a standard linear SVM while using the generic
% kernel interface.
randn('state',0) ;
rand('state',0) ;
% ------------------------------------------------------------... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | meanshiftSpatial.m | .m | MultiviewAppearanceTracker-master/lib/lib_boosting/meanshiftSpatial.m | 1,460 | utf_8 | a960376d3b3e2c1d943f47373219b0b1 | function [mode] = meanshiftSpatial(data, h, epsilon, init_pt)
[d N] = size(data);
eps2 = epsilon*epsilon;
mode = ones(d, 1);
if( size(init_pt) ~= size(mode) )
error('Not the proper dimension');
end
x = init_pt;
for iter = 1:10
[m, s] = mean_shift_iteration(x, data, h, eps2);
if(s... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | selectBestRegressionStump.m | .m | MultiviewAppearanceTracker-master/lib/lib_boosting/selectBestRegressionStump.m | 2,049 | utf_8 | 40c4689b42f3b2c487080a085db3710b | function [featureNdx, th, a , b, error] = selectBestRegressionStump(x, z, w);
% [th, a , b] = fitRegressionStump(x, z);
% z = a * (x>th) + b;
% where (a,b,th) are so that it minimizes the weighted error:
% error = sum(w * |z - (a*(x>th) + b)|^2) / sum(w)
% atb, 2003 torralba@ai.mit.edu
[Nfeatures, Nsamples] = siz... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | shuffleSupInd.m | .m | MultiviewAppearanceTracker-master/lib/imrender/shuffleSupInd.m | 1,660 | utf_8 | 6a48be585ba0121893537ef1d1e979c4 | function op = shuffleSupInd(S)
uniqueInd = unique(S);
S1 = zeros( size(S) );
S2 = zeros( size(S) );
S3 = zeros( size(S) );
randomInd = rand( numel(uniqueInd), 3);
for iter = 1:numel(uniqueInd)
S1(S==iter) = randomInd(iter, 1);
S2(S==iter) = randomInd(iter, 2);
S3(S==iter) = randomInd(iter, 3);
end
op = ca... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | truncquad_edges.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/truncquad_edges.m | 1,016 | utf_8 | e7ad9508e80bd7dd9106ae3f4156a5ec | %TRUNCQUAD_EDGES Compute truncated quadratic pairwise texture costs
%
% edge_costs = truncquad_edges(I, modes, EI, thresh)
%
% Computes the truncated quadratic cost of each combination of pairs of
% modes in each edge, based on the minimum distance to a pair of pixels in
% the corresponding library.
%
% IN:
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | truncquad_modes.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/truncquad_modes.m | 1,286 | utf_8 | 3d964b9dc782c4855c91b4c6bcf787b6 | %TRUNCQUAD_MODES Compute colour modes for a truncated quadratic kernel
%
% [modes depth energy inliers] = truncquad_modes(I, thresh[, use_variance[, search_width]])
%
% Computes the colour modes for each set of input vectors, using the
% truncated quadratic kernel.
%
% IN:
% I - CxLxM array of L input colo... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | P_interp.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/P_interp.m | 1,770 | utf_8 | 921030bc998d5ef446f99ae9c4c55b8e | function P = P_interp(first, last, frames)
%P_INTERP Linear interpolation between 2 projection matrices
%
% P = P_interp(first, last, frames)
%
% Creates a series off projection matrices interpolated from two projection
% matrices.
%
%IN:
% first - 3x4 The first projection matrix in the series, and the fi... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | ojw_segpln.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/ojw_segpln.m | 5,727 | utf_8 | 44d8d4908d827efa9fdc0f11904bdf79 | function [D info] = ojw_segpln(images, P, disps, R, options)
%OJW_SEGPLN Generate piecewise-planar disparity proposals for stereo
%
% [D info] = ojw_segpln(images, P, disps, R, options)
%
% Generates a set of disparity map proposals for the first input image.
%
%IN:
% images - 1xN cell array of input image... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | ibr_fuse_depths.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/ibr_fuse_depths.m | 15,318 | utf_8 | c98f5a8a0b4a54db2983fb10c8ff2301 | function [N info energy V] = ibr_fuse_depths(D1, D2, vals)
%IBR_FUSE_DEPTHS Fuse two disparity images using QPBO
%
% [N info energy V] = ibr_fuse_depths(D0, D1, vals)
%
% Given two disparity maps and input data (image sequence, projection
% matrices and configuration parameters) this function will fuse the two... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | find_interactions.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/find_interactions.m | 856 | utf_8 | 817e427cf1c3c223e961d5d47df487fc | %FIND_INTERACTIONS Given ordered 3d points, find occlusions pairs
%
% P = find_interactions(V)
%
% Given a set of 3d image coordinates (pixel coordinates plus depth),
% ordered such that the x coordinates are monotonically increasing, as are
% the y coordinates within each block of identical x coordinates, fin... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | ibr_gen_cliques.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/ibr_gen_cliques.m | 849 | utf_8 | 141e3aab3e70e143002919e425759078 | %IBR_GEN_CLIQUES Generate graph cliques given visibilities
%
% [U P PI T TI] = ibr_gen_cliques(IA, VA, V, Kocc, method)
%
% Generates graph cliques for the algorithm described in Woodford etal.'s
% BMVC 2007 paper:
% "On New View Synthesis Using Multiview Stereo".
%
% IN:
% IA - 1xN cell array of input ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | sc.m | .m | MultiviewAppearanceTracker-master/lib/imrender/ojw/sc.m | 32,939 | utf_8 | 34495279b3a0ff89df9db7631adf5d5e | function I = sc(I, varargin)
%SC Display/output truecolor images with a range of colormaps
%
% Examples:
% sc(image)
% sc(..., limits)
% sc(..., colormap)
% out = sc(...)
% sc
%
% Generates a truecolor RGB image based on the input values in 'image' and
% any maximum and minimum limits specified, u... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vgg_progressbar.m | .m | MultiviewAppearanceTracker-master/lib/imrender/vgg/vgg_progressbar.m | 4,301 | utf_8 | d4541c2ac2b1b469245005ae628b0d3c | function retval = vgg_progressbar(tag, proportion, min_update_interval)
%VGG_PROGRESSBAR Simple progress bar implementation
%
% retval = vgg_progressbar(tag, proportion[, min_update_interval])
%
% Starts, updates and closes a progress bar according to the proportion of
% time left.
%
% IN:
% tag - String ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vgg_interp2.m | .m | MultiviewAppearanceTracker-master/lib/imrender/vgg/vgg_interp2.m | 1,332 | utf_8 | 17912cc11a4dee00b1ba8b3a285b8b3b | %VGG_INTERP2 Fast 2d interpolation for images
%
% V = vgg_interp2(A, X, Y)
% V = vgg_interp2(A, X, Y, interp_mode)
% V = vgg_interp2(A, X, Y, interp_mode, oobv)
%
% 2d interpolation on a regular grid - similar to matlab's interp2() but
% with much less overhead, and supports multiple channels and types. Note
%... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vgg_trw_bp.m | .m | MultiviewAppearanceTracker-master/lib/imrender/vgg/vgg_trw_bp.m | 2,516 | utf_8 | 0aca9aba5db6b3211bdefbe0450576d3 | %VGG_TRW_BP Multi-label MRF energy minimization using TRW-S & LBP
%
% [L energy lower_bound] = vgg_trw_bp(UE, PI, PE, [options])
%
% Uses the message passing algorithms TRW-S or LBP to solve an MRF energy
% minimization problem with binary or multiple labels.
%
% This function uses mexified C++ code written b... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vgg_qpbo.m | .m | MultiviewAppearanceTracker-master/lib/imrender/vgg/vgg_qpbo.m | 4,484 | utf_8 | efbd63c24e5c764cd2ddb808ee1c50b0 | %VGG_QPBO Binary MRF energy minimization on non-submodular graphs
%
% [L stats] = vgg_qpbo(UE, PI, PE, [TI, TE], [options])
%
% Uses the Quadratic Pseudo-Boolean Optimization (QPBO - an extension of
% graph cuts that solves the "roof duality" problem, allowing graphs with
% submodular edges to be solved) to so... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vgg_segment_ms.m | .m | MultiviewAppearanceTracker-master/lib/imrender/vgg/vgg_segment_ms.m | 1,604 | utf_8 | 12fddc475aab634dcf476230c88cee4a | %VGG_SEGMENT_MS Mean shift image segmentation
%
% S = vgg_segment_ms(A, h_s, h_r, min_sz[, W])
%
% Segmentation of an image using mean shift.
%
% Uses EDISON code by Chris Christoudias and Bogdan Georgescu, downloaded
% from http://www.caip.rutgers.edu/riul/research/code/EDISON/index.html,
% and based on th... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vgg_segment_gb.m | .m | MultiviewAppearanceTracker-master/lib/imrender/vgg/vgg_segment_gb.m | 1,290 | utf_8 | 20857800ff0ce67c6aafa8d4e341978b | %VGG_SEGMENT_GB Graph-based image segmentation
%
% S = vgg_segment_gb(A, sigma, K, min_sz[, compress])
%
% Segmentation of an image using the graph-based method described in:
% "Efficient Graph-Based Image Segmentation.", Pedro F. Felzenszwalb and
% Daniel P. Huttenlocher. International Journal of Computer... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | init.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/init.m | 1,377 | utf_8 | 2046af7d12ea25d9ec0e788a05ba6e56 | function init;
% adds paths to subdirectories
addpath(genpath(pwd));
if verLessThan2('7.1')
addpath(genpath('compatibility/private/7.1'));
end
if verLessThan2('7.4')
addpath(genpath('compatibility/private/7.4'));
end
addpath_SuiteSparse();
addpath_libraries();
function addpath_SuiteSparse();
dir_input='/User... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | demo_normalizeMatchingW.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/demo_normalizeMatchingW.m | 1,795 | utf_8 | 156be00e1857fe9ed69ed78e019d56ea | function demo_normalizeMatchingW();
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
%% create a random graph matching matrix with n1 nodes in 1st graph, n2 in 2nd graph
n1=10;
n2=15;... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | compute_ICM_graph_matching.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/compute_ICM_graph_matching.m | 1,390 | utf_8 | 7c6fa7c4be20d9a87c27d429f5b922a7 | function [X,scores]=compute_ICM_graph_matching(X0,E12,W);
% maximum enrgy
%TODO:verifier formule; esp case when Ws_{ii}(xi,xi) full matrix???
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public Lic... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | dir2.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/dir2.m | 1,381 | utf_8 | 7f089a9367087af58454315203a500d8 | function files=dir2(dirInput);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
files=dirRec(dirInput);
end
function files = dirRec(dirInput);
index=0;
dirRoot=dirInput;
files=[];
di... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | assert.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/assert.m | 712 | utf_8 | 74c5bc88c54aacc0028a80cfb03c34af | function assert2(condition,msgid,str);
%{
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
problem with builtin assert: assert(0) not defined
%}
if ~condition
dispStack();
err... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | gradAssign.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/gradAssign.m | 3,467 | utf_8 | 7a85c8d7aaaab57d69151fefa4e69b8e | function [X,nbMatVec] = gradAssign(W, E12, b0, bStep, bMax, tolB, tolC, target, X0)
%{
Timothee Cour, Praveen Srinivasan
implementation of graduated assignment
%}
% Xga = gradAssign(W, E12, 0.5, 1.075,10,1e-3,1e-3, target);
% Xb = bistocNormalize(X, 1e-3, 1000);
W=tril(W);
sumW=2*sum(sum(W))-sum(diag(W));
if sumW==0
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | actionFigure.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/actionFigure.m | 8,816 | utf_8 | f76599a00009e0b86972f0633fd7660f | function actionFigure(hObject, eventdata, handles);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
global data;
selectionType = get (gcf , 'SelectionType');
fig = gcf;
switch select... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | mex_silent.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/mex_silent.m | 18,264 | utf_8 | 526a4c038e47cea9d3c8db329c9d24b3 | function [errorCode,message] = mex_silent(isVerbose,varargin)
%MEX Compile MEX-function.
% MEX [option1 ... optionN] sourcefile1 [... sourcefileN]
% [objectfile1 ... objectfileN] [libraryfile1 ... libraryfileN]
%
% Description:
% MEX compiles and links source files into a shared library called a
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | compute_graph_matching_SMAC.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/compute_graph_matching_SMAC.m | 3,282 | utf_8 | 3271cc18a384b0322036adba7ae1497a | function [X12,X_SMAC,timing]=compute_graph_matching_SMAC(W,E12,options);
%{
% Timothee Cour, 21-Apr-2008 17:31:23 + update febrary 2009
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
Code implementing graph matching algo... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | computeXorthonormal.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/computeXorthonormal.m | 439 | utf_8 | 116503ce9345b11f3b435516f7448a7d | function Xorth=computeXorthonormal(X);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
[n1,n2,k]=size(X);
Xorth = zeros(n1,n2,k);
for i=1:k
Xorth(:,:,i)=computeXorthonormal_aux(X(... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | compileFiles.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/compileFiles.m | 3,252 | utf_8 | 91799cf758de365b948931e1b5c162b9 | function filesError = compileFiles(filepaths);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
files=filepaths2files(filepaths);
dir_old=pwd;
n_old=length(dir_old);
for i=1:length(fi... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | verLessThan2.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/verLessThan2.m | 534 | utf_8 | 58f223b8239d7b05f8fa6e64e7ae8e09 | function tf=verLessThan2(strNumber);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
temp=version;
temp = getParts(temp);
strNumber = getParts(strNumber);
tf = (sign(temp - strNumber... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | disp2.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/disp2.m | 790 | utf_8 | ba7602e40f4e42c565163a7f5df5798f | function disp2(expr,result);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
if nargin>=2
disp_aux(expr,result);
return;
end
try
% result = evalin('base',expr);
resul... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | compute_matching_from_W.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/compute_matching_from_W.m | 1,771 | utf_8 | 8ff271f71ed3d048e965d05971445752 | function [X,lambda,timing,constraintViolation] = compute_matching_from_W(W,E12,k,constraintMode,isAffine,isNcut);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
constraintViolation=[... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | positionFigure.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/positionFigure.m | 3,314 | utf_8 | dee3921d2ed205b51e5fca94c7c253f7 | function positionFigure(p,q,fig);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
set(gca,'Position',[0 0 1 1]);
if nargin < 3
fig = gcf;
end
if nargin < 1
if ~isempty(getima... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | saveFigure.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/saveFigure.m | 1,566 | utf_8 | bc32828bf34a516cee5ac8cab690a01b | function saveFigure(figureNumber,isImage,filename);
% TODO : handle function in case remote server without graphics => option
% to save to a given path,filename (works with saveas or print)
% TODO : tiff option to create a preview does not seem to work
% zbuffer, r300, axis image, -deps2, -djpeg
% use getfrme
% Timothe... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | file2string.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/file2string.m | 1,297 | utf_8 | 01cbb241b21bdc69281e2366f020b76c | function string = file2string(file);
%TODO: deal with differences ('\r\n' vs \n vs \r etc)
%{
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
string = file2string(which('file2strings'... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | getUserHost.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/getUserHost.m | 1,860 | utf_8 | e8127c62bfb65237005b8fc67377b7ee | function [user,host,userAthost] = getUserHost;
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
host='';
user='';
if ispc
try
[s,user] = system('ECHO %USERNAME%');
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | computeSyntheticExampleMatching.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/computeSyntheticExampleMatching.m | 2,260 | utf_8 | 2b67191ebb1203b6b266358bec84b4a3 | function [W,E12,target,G1,G2]=computeSyntheticExampleMatching(n1,n2,param,noise,density_matches);
%{
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
n1,n2: nb nodes in graph 1,2
targe... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | setPropertyFigure2.m | .m | MultiviewAppearanceTracker-master/lib/graph_matching_SMAC/util/setPropertyFigure2.m | 3,786 | utf_8 | f8cc847bbf2cf24ba61f55c240b25581 | function setPropertyFigure2(fig);
% Timothee Cour, 21-Apr-2008 17:31:23
% This software is made publicly for research use only.
% It may be modified and redistributed under the terms of the GNU General Public License.
isSlider = 0;
UserData = get(fig,'UserData');
set(fig,'WindowButtonDownFcn',@actionFigure);
% set(f... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | plot.m | .m | MultiviewAppearanceTracker-master/lib/@kde/plot.m | 7,653 | utf_8 | f780548e87d0f1875ec9268afce4fd9d | function H=plot(x,varargin)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% KDE plotting function
%
% plot(kde) -- plot a KDE with various features.
% plot(kde,style) -- style is of the form
% plot(kde,dim,style) -- [STR1,STR2,...] where
%
% style is of the form [STR1 ST... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | entropyGrad.m | .m | MultiviewAppearanceTracker-master/lib/@kde/entropyGrad.m | 1,006 | utf_8 | a482a4db37c9545ec0c790ded65aca1c | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% err = entropyGrad(npd,estType)
% Compute gradient of an entropy estimate for the npde
%
% entType is one of:
% ISE : integrated squared error from uniform estimate
% RS,LLN : law of large numbers resubsti... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | modes.m | .m | MultiviewAppearanceTracker-master/lib/@kde/modes.m | 3,423 | utf_8 | a1561f4327e4c415e1afd6892fd87c0a | function [modeList,attr] = modes(dens,start)
%
% [modes,assoc] = modes(kde [,init]) -- Find modes of a KDE via fixed point iter. scheme
% options:
% init -- initial locations for search (default is kde's kernel centers)
% returns:
% modes -- list of estimated mode locations
% assoc -- which mode each initi... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | quantize.m | .m | MultiviewAppearanceTracker-master/lib/@kde/quantize.m | 728 | utf_8 | da02b55a43079674304fd19db18da126 | function p = quantize(p,R,minV,maxV,minS,maxS)
%
% p = quantize(p,R,type) -- "quantize" elements of KDE p to R bits
%
%p.centers = round(1000*p.centers)/1000;
%p.means = round(1000*p.means)/1000;
%p.ranges = round(1000*p.ranges)/1000;
%p.bandwidth = ceil(10000*p.bandwidth)/10000;
p.centers = roundVals(p.ce... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | evalIFGT.m | .m | MultiviewAppearanceTracker-master/lib/@kde/evalIFGT.m | 7,222 | utf_8 | ef0bcd2b59b2c10f6427f8e75ba67a2e | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% evalIFGT Evaluate the density estimate using the "improved" Fast Gauss Transform
%
% [e,b] = evalIFGT(X,Y,N [,Nc,rC]) -- eval likelihood ("e") of the points Y under
% the density estimate X using N coefficient... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | joinTrees.m | .m | MultiviewAppearanceTracker-master/lib/@kde/joinTrees.m | 6,414 | utf_8 | 749cd7423770167e50c916245f2e8d2a | function t1 = joinTrees(t1, t2, alpha)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% t12 = joinTrees(t1, t2, alpha)
% create a new KD-tree with t1 and t2 as the children of the root
% The t1 subtree recieves weight alpha; the t2 subtree has wt. 1-alpha
%
%%%%%%%%%%%%%%%%%%%%%... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | maxlogerr.m | .m | MultiviewAppearanceTracker-master/lib/@kde/maxlogerr.m | 2,415 | utf_8 | e64b1877c0870706f1d99ce2085e21ad | function [maxVal,location] = logerr(p,q)
%
% modes = logerr(p,q) -- Find location of max. log-error between p&q
%
%
%
% Copyright (C) 2003 Alexander Ihler; distributable under GPL -- see README.txt
start = [getPoints(p),getPoints(q)];
tol=1e-4; % set tolerance values etc.
max_it=1000;
minDistance = 1e-2;
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | klGrad.m | .m | MultiviewAppearanceTracker-master/lib/@kde/klGrad.m | 3,382 | utf_8 | 6061ba6101e34870ce76b5bad2da6097 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% [err1,err2]=klGrad(dens1,dens2,estType)
% Compute gradient of a KL-divergence estimate, D(dens1 || dens2);
% estType is one of:
% ise : integrated squared error from uniform estimate (not yet implemented)
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | reduce.m | .m | MultiviewAppearanceTracker-master/lib/@kde/reduce.m | 8,009 | utf_8 | 5d3b50cda6be10c92128197ef2e28b74 | function [q,o2,o3] = reduce(p,type,varargin)
%
% q = reduce(p,'type',[options]) -- "Reduce" a KDE, so that it requires fewer
% kernels but has similar representative power (better than just resampling)
%
% 'type' is one of:
% 'mscale' -- "Multiscale data condensation" method of Mitra et al. PAMI '02
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | encode.m | .m | MultiviewAppearanceTracker-master/lib/@kde/encode.m | 2,845 | utf_8 | a122889765f9743426006390803a8ded | function C = encode(p,R)
%
% Compute vector of transmit costs for each stage of the KD-tree
%
N = getNpts(p); bw = getBW(p,1);
if (size(p.bandwidth,2) > 2*N)
error('Encoding of variable bandwidths not yet supported...');
end;
if (any( abs(getWeights(p) - 1/N) > 2*eps ))
error('Encoding of variable weights not ye... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | evalFGT.m | .m | MultiviewAppearanceTracker-master/lib/@kde/evalFGT.m | 6,928 | utf_8 | ea5f34be8bac0228188768426a5c0bde | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% evalIFGT Evaluate the density estimate using the (original) Fast Gauss Transform
%
% [e,b] = evalFGT(X,Y,N [,Nc,rC]) -- eval likelihood ("e") of the points Y under
% the density estimate X using N coeffic... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | ksize.m | .m | MultiviewAppearanceTracker-master/lib/@kde/ksize.m | 4,999 | utf_8 | cc58ac2721b998a18def3388ce16dc98 | function npd = ksize(npd,type,varargin)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% KSIZE Find optimal kernel size for kernel density estimates
%
% Q=KSIZE(P) returns a KDE with the same points and type as "P", but whose
% bandwidth has been determined by one of ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | prodSampleImportGauss.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/prodSampleImportGauss.m | 1,977 | utf_8 | 3db8a195988c137f702d1a0324c1cc68 | function [ptsS, wtsS] = prodSampleImportGaussian(npds,Npts,anFns,anParams,overSamp,type)
%
% Gaussian-approximation-based importance sampling (private function)
%
% See Ihler,Sudderth,Freeman,&Willsky, "Efficient multiscale sampling from products
% of Gaussian mixtures", in Proc. Neural Information Proces... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | randKernel.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/randKernel.m | 1,689 | utf_8 | aa78a3f09fb2be65647c3960caa3db3f | function samples = randKernel(N,M,type)
%
% samples = randKernel(N,M,type) -- Draw samples from a kernel of the
% given type, with bandwidth 1; for bw!=1,
% eg bw=getBW(dens,ind), use B.*randKernel(N,M,type)
%
% Copyright (C) 2003 Alexander Ihler; distributable und... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | reduceSolveM.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/reduceSolveM.m | 13,387 | utf_8 | 3a1291074803b254aa65ad998cd89a2f | %
% Internal routines for solving the quadratic minimization problem
% occurring for "reduced set density estimation" (RSDE)
% implemented by the function "@kde/reduce.m"
%
% Code by (a) Chao He and Mark Girolami (SMO, Mult)
% (b) Yinyu Ye (QP)
%
function alpha = reduceSolve(Q,D,type)
switch(type)
c... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | ksizeLSCV.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/ksizeLSCV.m | 1,124 | utf_8 | 655871b6248384de32bb43946219d78f | function h = ksizeLSCV(npd)
% "Least-Squares Cross Validation" estimate (Silverman)
%
% Copyright (C) 2005 Alexander Ihler; distributable under GPL -- see README.txt
% hROT = ksizeROT(npd);
% npd = kde(getPoints(npd),hROT,getWeights(npd),getType(npd));
% h = golden(npd,@nLSCV,.1,1,30,1e-2);
% h = h * hROT;
[m... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | reduceKD.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/reduceKD.m | 3,536 | utf_8 | 64e442e25ac5fe30874c408a16385e0f | function [q,e,c]=reduceKD(p,varargin)
% KD-tree based density reduction method of Ihler et al, 2004.
%
costType = 'kld'; maxCost = .01;
costs = ones(1,2*getNpts(p)); % cost-matrix in terms of # components
for i=1:length(varargin)
if (isa(varargin{i},'char')), costType = varargin{i}; end;
if (isa(varargin{i... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | ksizeHall.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/ksizeHall.m | 3,035 | utf_8 | c5314c96ba500c8f5f1a37c6a859eaac | function h = ksizeHall(npd)
%
% Find kernel size according to "plug-in" method of
% Hall, Marron, Sheather, Jones (91)
%
%
% Copyright (C) 2003 Alexander Ihler; distributable under GPL -- see README.txt
x = getPoints(npd);
[N1,N2] = size(x);
sig = std(x,0,2); % estimate sigma (standard... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | reduceKD2.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/reduceKD2.m | 2,015 | utf_8 | dd67a8f3df4e3759d5d0878fc7bee42e | function q=reduceKD(p,maxCost,costType)
if (nargin < 3) costType = 1; end; % "max" cost
if (nargin < 2) maxCost = round(getNpts(p)/10); end;
bw = getBW(p,1); out = kde(mean(p),3*covar(p)); outW = .999; N = getNpts(p);
ind = [1]; done = []; eC=zeros(1,2*N); eC(1) = cost(p,1,bw,out,outW,costType);
done = ind; ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | ksizeCalcUseful.m | .m | MultiviewAppearanceTracker-master/lib/@kde/private/ksizeCalcUseful.m | 2,075 | utf_8 | cf1830a47aafdbd7969c237259045a20 | function ksizeCalcUseful
%
% ksizeCalcUseful
% -- find some useful numbers for the various kernels
%
%
% Kernel size calculations for Rule of Thumb, Maximal Smoothing Principle
% Assume that true density f is Gaussian (or whatever)
% and find h_\infty = BW minimizing AMISE (Asymp. Mean Squared Err)
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_compile.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/vl_compile.m | 5,060 | utf_8 | 978f5189bb9b2a16db3368891f79aaa6 | function vl_compile(compiler)
% VL_COMPILE Compile VLFeat MEX files
% VL_COMPILE() uses MEX() to compile VLFeat MEX files. This command
% works only under Windows and is used to re-build problematic
% binaries. The preferred method of compiling VLFeat on both UNIX
% and Windows is through the provided Makefile... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_noprefix.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/vl_noprefix.m | 1,875 | utf_8 | 97d8755f0ba139ac1304bc423d3d86d3 | function vl_noprefix
% VL_NOPREFIX Create a prefix-less version of VLFeat commands
% VL_NOPREFIX() creats prefix-less stubs for VLFeat functions
% (e.g. SIFT for VL_SIFT). This function is seldom used as the stubs
% are included in the VLFeat binary distribution anyways. Moreover,
% on UNIX platforms, the stub... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_override.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/misc/vl_override.m | 4,654 | utf_8 | e233d2ecaeb68f56034a976060c594c5 | function config = vl_override(config,update,varargin)
% VL_OVERRIDE Override structure subset
% CONFIG = VL_OVERRIDE(CONFIG, UPDATE) copies recursively the fileds
% of the structure UPDATE to the corresponding fields of the
% struture CONFIG.
%
% Usually CONFIG is interpreted as a list of paramters with their
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_quickvis.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/quickshift/vl_quickvis.m | 3,696 | utf_8 | 27f199dad4c5b9c192a5dd3abc59f9da | function [Iedge dists map gaps] = vl_quickvis(I, ratio, kernelsize, maxdist, maxcuts)
% VL_QUICKVIS Create an edge image from a Quickshift segmentation.
% IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) creates an edge
% stability image from a Quickshift segmentation. RATIO controls the tradeoff
% bet... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_demo_aib.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/demo/vl_demo_aib.m | 2,928 | utf_8 | 590c6db09451ea608d87bfd094662cac | function vl_demo_aib
% VL_DEMO_AIB Test Agglomerative Information Bottleneck (AIB)
D = 4 ;
K = 20 ;
randn('state',0) ;
rand('state',0) ;
X1 = randn(2,300) ; X1(1,:) = X1(1,:) + 2 ;
X2 = randn(2,300) ; X2(1,:) = X2(1,:) - 2 ;
X3 = randn(2,300) ; X3(2,:) = X3(2,:) + 2 ;
figure(1) ; clf ; hold on ;
vl_plotframe(X... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_demo_alldist.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/demo/vl_demo_alldist.m | 5,460 | utf_8 | 6d008a64d93445b9d7199b55d58db7eb | function vl_demo_alldist
%
numRepetitions = 3 ;
numDimensions = 1000 ;
numSamplesRange = [300] ;
settingsRange = {{'alldist2', 'double', 'l2', }, ...
{'alldist', 'double', 'l2', 'nosimd'}, ...
{'alldist', 'double', 'l2' }, ...
{'alldist2', 's... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_demo_kdtree_sift.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/demo/vl_demo_kdtree_sift.m | 6,822 | utf_8 | 191589ff45e0f5cdb79b1eed1b1bb906 | function vl_demo_kdtree_sift
% VL_DEMO_KDTREE_SIFT
% Demonstrates the use of a kd-tree forest to match SIFT
% features. If FLANN is present, this function runs a comparison
% against it.
% AUTORIGHS
rand('state',0) ;
randn('state',0);
do_median = 0 ;
do_mean = 1 ;
% try to setup flann
if ~exist('flann_search'... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_tpsu.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/imop/vl_tpsu.m | 1,755 | utf_8 | 09f36e1a707c069b375eb2817d0e5f13 | function [U,dU,delta]=vl_tpsu(X,Y)
% VL_TPSU Compute the U matrix of a thin-plate spline transformation
% U=VL_TPSU(X,Y) returns the matrix
%
% [ U(|X(:,1) - Y(:,1)|) ... U(|X(:,1) - Y(:,N)|) ]
% [ ]
% [ U(|X(:,M) - Y(:,1)|) ... U(|X(:,M) - Y(:,N)|) ]
%
% where X... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_xyz2lab.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/imop/vl_xyz2lab.m | 1,570 | utf_8 | 09f95a6f9ae19c22486ec1157357f0e3 | function J=vl_xyz2lab(I,il)
% VL_XYZ2LAB Convert XYZ color space to LAB
% J = VL_XYZ2LAB(I) converts the image from XYZ format to LAB format.
%
% VL_XYZ2LAB(I,IL) uses one of the illuminants A, B, C, E, D50, D55,
% D65, D75, D93. The default illuminatn is E.
%
% See also: VL_XYZ2LUV(), VL_HELP().
% Copyright ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_twister.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_twister.m | 1,162 | utf_8 | 1ae9040a416db503ad73600f081d096b | function results = vl_test_twister(varargin)
% VL_TEST_TWISTER
vl_test_init ;
function test_illegal_args()
vl_assert_exception(@() vl_twister(-1), 'vl:invalidArgument') ;
vl_assert_exception(@() vl_twister(1, -1), 'vl:invalidArgument') ;
vl_assert_exception(@() vl_twister([1, -1]), 'vl:invalidArgument') ;
function te... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_kdtree.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_kdtree.m | 2,448 | utf_8 | 66f429ff8286089a34c193d7d3f9f016 | function results = vl_test_kdtree(varargin)
% VL_TEST_KDTREE
vl_test_init ;
function s = setup()
randn('state',0) ;
s.X = single(randn(10, 1000)) ;
s.Q = single(randn(10, 10)) ;
function test_nearest(s)
for tmethod = {'median', 'mean'}
for type = {@single, @double}
conv = type{1} ;
tmethod = char(tmethod) ;... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_imwbackward.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_imwbackward.m | 514 | utf_8 | 33baa0784c8f6f785a2951d7f1b49199 | function results = vl_test_imwbackward(varargin)
% VL_TEST_IMWBACKWARD
vl_test_init ;
function s = setup()
s.I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
function test_identity(s)
xr = 1:size(s.I,2) ;
yr = 1:size(s.I,1) ;
[x,y] = meshgrid(xr,yr) ;
vl_assert_almost_equal(s.I, vl_imwbackward(xr,yr,s.I,... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_pegasos.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_pegasos.m | 2,852 | utf_8 | 45a09a3bfefa3facd439fefbb7f1a903 | function results = vl_test_pegasos(varargin)
% VL_TEST_KDTREE
vl_test_init ;
function s = setup()
randn('state',0) ;
s.biasMultiplier = 10 ;
s.lambda = 0.01 ;
Np = 10 ;
Nn = 10 ;
Xp = diag([1 3])*randn(2, Np) ;
Xn = diag([1 3])*randn(2, Nn) ;
Xp(1,:) = Xp(1,:) + 2 + 1 ;
Xn(1,:) = Xn(1,:) - 2 + 1 ;
s.X = [Xp Xn] ;
s... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_alphanum.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_alphanum.m | 1,624 | utf_8 | 2da2b768c2d0f86d699b8f31614aa424 | function results = vl_test_alphanum(varargin)
% VL_TEST_ALPHANUM
vl_test_init ;
function s = setup()
s.strings = ...
{'1000X Radonius Maximus','10X Radonius','200X Radonius','20X Radonius','20X Radonius Prime','30X Radonius','40X Radonius','Allegia 50 Clasteron','Allegia 500 Clasteron','Allegia 50B Clasteron','Al... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_imintegral.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_imintegral.m | 1,429 | utf_8 | 4750f04ab0ac9fc4f55df2c8583e5498 | function results = vl_test_imintegral(varargin)
% VL_TEST_IMINTEGRAL
vl_test_init ;
function state = setup()
state.I = ones(5,6) ;
state.correct = [ 1 2 3 4 5 6 ;
2 4 6 8 10 12 ;
3 6 9 12 15 18 ;
4 8 12 ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_sift.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_sift.m | 1,318 | utf_8 | 806c61f9db9f2ebb1d649c9bfcf3dc0a | function results = vl_test_sift(varargin)
% VL_TEST_SIFT
vl_test_init ;
function s = setup()
s.I = im2single(imread(fullfile(vl_root,'data','box.pgm'))) ;
[s.ubc.f, s.ubc.d] = ...
vl_ubcread(fullfile(vl_root,'data','box.sift')) ;
function test_ubc_descriptor(s)
err = [] ;
[f, d] = vl_sift(s.I,...
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_binsum.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_binsum.m | 1,301 | utf_8 | 5bbd389cbc4d997e413d809fe4efda6d | function results = vl_test_binsum(varargin)
% VL_TEST_BINSUM
vl_test_init ;
function test_three_args()
vl_assert_almost_equal(...
vl_binsum([0 0], 1, 2), [0 1]) ;
vl_assert_almost_equal(...
vl_binsum([1 7], -1, 1), [0 7]) ;
vl_assert_almost_equal(...
vl_binsum([1 7], -1, [1 2 2 2 2 2 2 2]), [0 0]) ;
function te... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_lbp.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_lbp.m | 1,056 | utf_8 | 3b5cca50109af84014e56a4280a3352a | function results = vl_test_lbp(varargin)
% VL_TEST_TWISTER
vl_test_init ;
function test_one_on()
I = {} ;
I{1} = [0 0 0 ; 0 0 1 ; 0 0 0] ;
I{2} = [0 0 0 ; 0 0 0 ; 0 0 1] ;
I{3} = [0 0 0 ; 0 0 0 ; 0 1 0] ;
I{4} = [0 0 0 ; 0 0 0 ; 1 0 0] ;
I{5} = [0 0 0 ; 1 0 0 ; 0 0 0] ;
I{6} = [1 0 0 ; 0 0 0 ; 0 0 0] ;
I{7} = [0 1 0 ;... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_colsubset.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_colsubset.m | 828 | utf_8 | be0c080007445b36333b863326fb0f15 | function results = vl_test_colsubset(varargin)
% VL_TEST_COLSUBSET
vl_test_init ;
function s = setup()
s.x = [5 2 3 6 4 7 1 9 8 0] ;
function test_beginning(s)
vl_assert_equal(1:5, vl_colsubset(1:10, 5, 'beginning')) ;
vl_assert_equal(1:5, vl_colsubset(1:10, .5, 'beginning')) ;
function test_ending(s)
vl_assert_equa... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_alldist.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_alldist.m | 2,373 | utf_8 | 9ea1a36c97fe715dfa2b8693876808ff | function results = vl_test_alldist(varargin)
% VL_TEST_ALLDIST
vl_test_init ;
function s = setup()
vl_twister('state', 0) ;
s.X = 3.1 * vl_twister(10,10) ;
s.Y = 4.7 * vl_twister(10,7) ;
function test_null_args(s)
vl_assert_equal(...
vl_alldist(zeros(15,12), zeros(15,0), 'kl2'), ...
zeros(12,0)) ;
vl_assert_equa... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_grad.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_grad.m | 434 | utf_8 | 4d03eb33a6a4f68659f868da95930ffb | function results = vl_test_grad(varargin)
% VL_TEST_GRAD
vl_test_init ;
function s = setup()
s.I = rand(150,253) ;
s.I_small = rand(2,2) ;
function test_equiv(s)
vl_assert_equal(gradient(s.I), vl_grad(s.I)) ;
function test_equiv_small(s)
vl_assert_equal(gradient(s.I_small), vl_grad(s.I_small)) ;
function test_equiv... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_whistc.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_whistc.m | 1,384 | utf_8 | 81c446d35c82957659840ab2a579ec2c | function results = vl_test_whistc(varargin)
% VL_TEST_WHISTC
vl_test_init ;
function test_acc()
x = ones(1, 10) ;
e = 1 ;
o = 1:10 ;
vl_assert_equal(vl_whistc(x, o, e), 55) ;
function test_basic()
x = 1:10 ;
e = 1:10 ;
o = ones(1, 10) ;
vl_assert_equal(histc(x, e), vl_whistc(x, o, e)) ;
x = linspace(-1,11,100) ;
o =... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_dsift.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_dsift.m | 2,048 | utf_8 | fbbfb16d5a21936c1862d9551f657ccc | function results = vl_test_dsift(varargin)
% VL_TEST_DSIFT
vl_test_init ;
function s = setup()
I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
s.I = rgb2gray(single(I)) ;
function test_fast_slow(s)
binSize = 4 ; % bin size in pixels
magnif = 3 ; % bin size / keypoint scale
scale = binSize... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_imsmooth.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_imsmooth.m | 1,837 | utf_8 | 718235242cad61c9804ba5e881c22f59 | function results = vl_test_imsmooth(varargin)
% VL_TEST_IMSMOOTH
vl_test_init ;
function s = setup()
I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
I = max(min(vl_imdown(I),1),0) ;
s.I = single(I) ;
function test_pad_by_continuity(s)
% Convolving a constant signal padded with continuity does not change... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_phow.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_phow.m | 549 | utf_8 | f761a3bb218af855986263c67b2da411 | function results = vl_test_phow(varargin)
% VL_TEST_PHOPW
vl_test_init ;
function s = setup()
s.I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
s.I = single(s.I) ;
function test_gray(s)
[f,d] = vl_phow(s.I, 'color', 'gray') ;
assert(size(d,1) == 128) ;
function test_rgb(s)
[f,d] = vl_phow(s.I, 'color',... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_kmeans.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_kmeans.m | 2,788 | utf_8 | 14374b7dbae832fc3509e02caf00cdf5 | function results = vl_test_kmeans(varargin)
% VL_TEST_KMEANS
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vl_test_init ;
function s = setup()
randn('sta... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_imarray.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_imarray.m | 795 | utf_8 | c5e6a5aa8c2e63e248814f5bd89832a8 | function results = vl_test_imarray(varargin)
% VL_TEST_IMARRAY
vl_test_init ;
function test_movie_rgb(s)
A = rand(23,15,3,4) ;
B = vl_imarray(A,'movie',true) ;
function test_movie_indexed(s)
cmap = get(0,'DefaultFigureColormap') ;
A = uint8(size(cmap,1)*rand(23,15,4)) ;
A = min(A,size(cmap,1)-1) ;
B = vl_imarray(A,'m... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_homkermap.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_homkermap.m | 1,903 | utf_8 | c157052bf4213793a961bde1f73fb307 | function results = vl_test_homkermap(varargin)
% VL_TEST_HOMKERMAP
vl_test_init ;
function check_ker(ker, n, window, period)
args = {n, ker, 'window', window} ;
if nargin > 3
args = {args{:}, 'period', period} ;
end
x = [-1 -.5 0 .5 1] ;
y = linspace(0,2,100) ;
for conv = {@single, @double}
x = feval(conv{1}, x) ;... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_slic.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_slic.m | 229 | utf_8 | 42c827b383cca74cae2540e5da870bbf | function results = vl_test_slic(varargin)
% VL_TEST_SLIC
vl_test_init ;
function s = setup()
s.im = im2single(imread(fullfile(vl_root,'data','a.jpg'))) ;
function test_slic(s)
segmentation = vl_slic(s.im, 10, 0.1, 'verbose') ;
|
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_imdisttf.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_imdisttf.m | 1,885 | utf_8 | ae921197988abeb984cbcdf9eaf80e77 | function results = vl_test_imdisttf(varargin)
% VL_TEST_DISTTF
vl_test_init ;
function test_basic()
for conv = {@single, @double}
conv = conv{1} ;
I = conv([0 0 0 ; 0 -2 0 ; 0 0 0]) ;
D = vl_imdisttf(I);
assert(isequal(D, conv(- [0 1 0 ; 1 2 1 ; 0 1 0]))) ;
I(2,2) = -3 ;
[D,map] = vl_imdisttf(I) ;
asse... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_argparse.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_argparse.m | 795 | utf_8 | e72185b27206d0ee1dfdc19fe77a5be6 | function results = vl_test_argparse(varargin)
% VL_TEST_ARGPARSE
vl_test_init ;
function test_basic()
opts.field1 = 1 ;
opts.field2 = 2 ;
opts.field3 = 3 ;
opts_ = opts ;
opts_.field1 = 3 ;
opts_.field2 = 10 ;
opts = vl_argparse(opts, {'field2', 10, 'field1', 3}) ;
assert(isequal(opts, opts_)) ;
opts_.field1 = 9 ;
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_test_binsearch.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/xtest/vl_test_binsearch.m | 1,339 | utf_8 | 85dc020adce3f228fe7dfb24cf3acc63 | function results = vl_test_binsearch(varargin)
% VL_TEST_BINSEARCH
vl_test_init ;
function test_inf_bins()
x = [-inf -1 0 1 +inf] ;
vl_assert_equal(vl_binsearch([], x), [0 0 0 0 0]) ;
vl_assert_equal(vl_binsearch([-inf 0], x), [1 1 2 2 2]) ;
vl_assert_equal(vl_binsearch([-inf], x), [1 1 1 1 1]) ;
vl_a... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | vl_plotframe.m | .m | MultiviewAppearanceTracker-master/lib/vlfeat-0.9.14/toolbox/plotop/vl_plotframe.m | 5,410 | utf_8 | 8c48bac1c5d80dba361b67cd135103d9 | function h=vl_plotframe(frames,varargin)
% VL_PLOTFRAME Plot feature frame
% VL_PLOTFRAME(FRAME) plots the frames FRAME. Frames are attributed
% image regions (as, for example, extracted by a feature detector). A
% frame is a vector of D=2,3,..,6 real numbers, depending on its
% class. VL_PLOTFRAME() supports the... |
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