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github | santhosh-kumar/MultiviewAppearanceTracker-master | pcaApply.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/classify/pcaApply.m | 3,472 | utf_8 | 6c900a4827e7901fb6d4a39bd29456af | function varargout = pcaApply( X, U, mu, k )
% Companion function to pca.
%
% Use pca.m to retrieve the principal components U and the mean mu from a
% set of vectors x, then use pcaApply to get the first k coefficients of
% x in the space spanned by the columns of U. See pca for general usage.
%
% If x is large... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | clfEcoc.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/classify/clfEcoc.m | 1,539 | utf_8 | 3cb7110d53d7eefcca505365b078fe8e | function clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
% Wrapper for ecoc that makes ecoc compatible with nfoldxval.
%
% Requires the SVM toolbox by Anton Schwaighofer.
%
% USAGE
% clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
%
% INPUTS
% p - data dimension
% clfInit ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | rbfDemo.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/classify/rbfDemo.m | 3,081 | utf_8 | c4eade9c74cfd2c1010c1d31188084f0 | function rbfDemo( dataType, noiseSig, scale, k, cluster, show )
% Demonstration of rbf networks for regression.
%
% See rbfComputeBasis for discussion of rbfs.
%
% USAGE
% rbfDemo( dataType, noiseSig, scale, k, cluster, show )
%
% INPUTS
% dataType - 0: 1D sinusoid
% 1: 2D sinusoid
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | pdist2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/classify/pdist2.m | 5,080 | utf_8 | 1c7a32b8f1c45611ffb7606ce56c08db | function D = pdist2( X, Y, metric )
% Calculates the distance between sets of vectors.
%
% Let X be an m-by-p matrix representing m points in p-dimensional space
% and Y be an n-by-p matrix representing another set of points in the same
% space. This function computes the m-by-n distance matrix D where D(i,j)
% i... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | kmeans2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/classify/kmeans2.m | 5,325 | utf_8 | 18fc468664aacfab9fa968c39309ff89 | function [ IDX, C, d ] = kmeans2( X, k, prm )
% Fast version of kmeans clustering.
%
% Cluster the N x p matrix X into k clusters using the kmeans algorithm. It
% returns the cluster memberships for each data point in the N x 1 vector
% IDX and the K x p matrix of cluster means in C.
%
% This function is in some... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | imwrite2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/imwrite2.m | 5,302 | utf_8 | 0fe604d2406963a870d7d6dd1736967f | function I = imwrite2( I, mulFlag, imagei, path, ...
name, ext, nDigits, nSplits, spliti, varargin )
% Similar to imwrite, except follows a strict naming convention.
%
% Wrapper for imwrite that writes file to the filename:
% fName = [path name int2str2(i,nDigits) '.' ext];
% Using imwrite:
% imwrite( I, fNa... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | convnFast.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/convnFast.m | 8,875 | utf_8 | 256cecc091597975036db98cd97776b6 | function C = convnFast( A, B, shape )
% Fast convolution, replacement for both conv2 and convn.
%
% See conv2 or convn for more information on convolution in general.
%
% This works as a replacement for both conv2 and convn. Basically,
% performs convolution in either the frequency or spatial domain, depending
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | imMlGauss.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/imMlGauss.m | 5,891 | utf_8 | b9556a21eb938fce1ce42c5f5fca3c57 | function varargout = imMlGauss( G, symmFlag, show )
% Calculates max likelihood params of Gaussian that gave rise to image G.
%
% Suppose G contains an image of a gaussian distribution. One way to
% recover the parameters of the gaussian is to threshold the image, and
% then estimate the mean/covariance based on ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | optFlowCorr.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/optFlowCorr.m | 5,283 | utf_8 | 37cdb4073aee1ab32d9d3b5e5cd13da1 | function [Vx,Vy,reliab] = optFlowCorr( I1, I2, patchR, searchR, ...
sigma, thr, show )
% Calculate optical flow using cross-correlation.
%
% Calculate optical flow using correlation, followed by lucas & kanade on
% aligned squares for subpixel accuracy. Locally, the closest patch within
% some search radius is... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | optFlowHorn.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/optFlowHorn.m | 2,429 | utf_8 | 3c1e2ef9ac6dcb36496491535ee4f278 | function [Vx,Vy] = optFlowHorn( I1, I2, sigma, show )
% Calculate optical flow using Horn & Schunck.
%
% USAGE
% [Vx,Vy] = optFlowHorn( I1, I2, [sigma], [show] )
%
% INPUTS
% I1, I2 - input images to calculate flow between
% sigma - [1] amount to smooth by (may be 0)
% show - [0] figure t... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | montage2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/montage2.m | 7,765 | utf_8 | 1e2747571d30ca97f555c85db994944a | function varargout = montage2( IS, prm )
% Used to display collections of images and videos.
%
% Improved version of montage, with more control over display.
% NOTE: Can convert between MxNxT and MxNx3xT image stack via:
% I = repmat( I, [1,1,1,3] ); I = permute(I, [1,2,4,3] );
%
% USAGE
% varargout = montag... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | jitterImage.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/jitterImage.m | 7,402 | utf_8 | 985e9abd0754aaf9497b351544c058b0 | function IJ = jitterImage( I, nphis, maxphi, ntrans, maxtrans, ...
jsiz, reflFlag, scales )
% Creates multiple, slightly jittered versions of an image.
%
% Takes an image I, and generates a number of images that are copies of the
% original image with slight translation and rotation applied. The
% original ima... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | movieToImages.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/movieToImages.m | 979 | utf_8 | 8b5c10dcbf510082131494773d97bbd4 | function I = movieToImages( M )
% Creates a stack of images from a matlab movie M.
%
% Repeatedly calls frame2im. Useful for playback with playMovie.
%
% USAGE
% I = movieToImages( M )
%
% INPUTS
% M - a matlab movie
%
% OUTPUTS
% I - MxNxT array (of images)
%
% EXAMPLE
% load( 'images.mat' ); [... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | seqWriterPlugin.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/seqWriterPlugin.m | 7,574 | utf_8 | 00d3729a9e046a0ab46648a61c09c121 | function varargout = seqWriterPlugin( cmd, h, varargin )
% Plugin for seqIo and videoIO to allow writing of seq files.
%
% Do not call directly, use as plugin for seqIo or videoIO instead.
% The following is a list of commands available (swp=seqWriterPlugin):
% h=swp('open',h,fName,info) % Open a seq file for wri... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | imtransform2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/imtransform2.m | 5,320 | utf_8 | 17734da271e1cc17a6b42299a17c8e8c | function IR = imtransform2( I, varargin )
% Applies a general/special homography on an image I
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a string th... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | kernelTracker.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/kernelTracker.m | 9,801 | utf_8 | de5cc5c9a694d6fa99593d3ca1ea00f4 | function [allRct, allSim, allIc] = kernelTracker( I, prm )
% Kernel Tracker from Comaniciu, Ramesh and Meer PAMI 2003.
%
% Implements the algorithm described in "Kernel-Based Object Tracking" by
% Dorin Comaniciu, Visvanathan Ramesh and Peter Meer, PAMI 25, 564-577,
% 2003. This is a fast tracking algorithm that ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | seqReaderPlugin.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/seqReaderPlugin.m | 8,693 | utf_8 | 1c032f7cf4319bb0f202014219a97e2b | function varargout = seqReaderPlugin( cmd, h, varargin )
% Plugin for seqIo and videoIO to allow reading of seq files.
%
% Do not call directly, use as plugin for seqIo or videoIO instead.
% The following is a list of commands available (srp=seqReaderPlugin):
% h = srp('open',h,fName) % Open a seq file for rea... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | bbGt.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/bbGt.m | 30,680 | utf_8 | 76b1b3226fe3e590d8fd1feb5b227704 | function varargout = bbGt( action, varargin )
% Bounding box (bb) annotations struct, evaluation and sampling routines.
%
% bbGt gives acces to three types of routines:
% (1) Data structure for storing bb image annotations.
% (2) Routines for evaluating the Pascal criteria for object detection.
% (3) Routines for... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | bbApply.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/images/bbApply.m | 18,588 | utf_8 | 28ac0d16568f7e9b458cde02ee2dcb2c | function varargout = bbApply( action, varargin )
% Functions for manipulating bounding boxes (bb).
%
% A bounding box (bb) is also known as a position vector or a rectangle
% object. It is a four element vector with the fields: [x y w h]. A set of
% n bbs can be stores as an [nx4] array, most funcitons below can h... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | toolboxUpdateHeader.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/toolboxUpdateHeader.m | 3,071 | utf_8 | 4b158e136af22af7f26984caefd58d77 | function toolboxUpdateHeader
% Update the headers of all the files.
%
% Must start in /toolbox base directory
%
% USAGE
% toolboxUpdateHeader
%
% INPUTS
%
% OUTPUTS
%
% EXAMPLE
%
% See also
%
% Piotr's Image&Video Toolbox Version 2.41
% Copyright 2009 Piotr Dollar. [pdollar-at-caltech.edu]
% Pl... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | toolboxGenDoc.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/toolboxGenDoc.m | 3,956 | utf_8 | 7cc9a4bb77b15deda5931b0c3ff3cbf6 | function toolboxGenDoc
% Generate documentation, must run from dir toolbox.
%
% 1) Make sure to run toolboxUpdateHeader.m
% 2) Update history.txt appropriately, including w current version
% 3) Update overview.html file with the version/data/link to zip:
% edit external/m2html/templates/frame-piotr/overview.h... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | toolboxHeader.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/toolboxHeader.m | 2,508 | utf_8 | bdfab6d0c570f31ce43794ca5debb88b | function [y1,y2] = toolboxHeader( x1, x2, x3, prm )
% One line description of function (will appear in file summary).
%
% General commments explaining purpose of function [width is 75
% characters]. There may be multiple paragraphs. In special cases some or
% all of these guidelines may need to be broken.
%
% Ne... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | demsvm2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/svm/demsvm2.m | 11,186 | utf_8 | 2d68238c12d17abf903b45e5f0f41ca6 | function demsvm2()
% DEMSVM2 - Demonstrate advanced Support Vector Machine features
%
% DEMSVM2 demonstrates the classification of a simple artificial data
% set by a Support Vector Machine classifier. The features of the SVM
% routines that make it useful for large data sets are shown.
%
% See also
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | svmtrain.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/svm/svmtrain.m | 22,359 | utf_8 | 76accfda8a8c589b49daf5d5dbae0c49 | function net = svmtrain(net, X, Y, alpha0, dodisplay)
% SVMTRAIN - Train a Support Vector Machine classifier
%
% NET = SVMTRAIN(NET, X, Y)
% Train the SVM given by NET using the training data X with target values
% Y. X is a matrix of size (N,NET.nin) with N training examples (one per
% row). Y is a colum... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | demsvm1.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/svm/demsvm1.m | 8,052 | utf_8 | 5325891ea6a760e603461632fa1482b3 | function demsvm1()
% DEMSVM1 - Demonstrate basic Support Vector Machine classification
%
% DEMSVM1 demonstrates the classification of a simple artificial data
% set by a Support Vector Machine classifier, using different kernel
% functions.
%
% See also
% SVM, SVMTRAIN, SVMFWD, SVMKERNEL, DEMSVM2
%
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | mdot.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/m2html/mdot.m | 2,516 | utf_8 | 34a14428c433e118d1810e23f5a6caf5 | function mdot(mmat, dotfile,f)
%MDOT - Export a dependency graph into DOT language
% MDOT(MMAT, DOTFILE) loads a .mat file generated by M2HTML using option
% ('save','on') and writes an ascii file using the DOT language that can
% be drawn using <dot> or <neato> .
% MDOT(MMAT, DOTFILE,F) builds the graph containing... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | m2html.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/m2html/m2html.m | 49,063 | utf_8 | 472047b4c36a4f8b162012840e31b59b | function m2html(varargin)
%M2HTML - Documentation Generator for Matlab M-files and Toolboxes in HTML
% M2HTML by itself generates an HTML documentation of the Matlab M-files found
% in the direct subdirectories of the current directory. HTML files are
% written in a 'doc' directory (created if necessary). All the o... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | doxysearch.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/m2html/private/doxysearch.m | 7,724 | utf_8 | 8331cde8495f34b86aef8c18656b37f2 | function result = doxysearch(query,filename)
%DOXYSEARCH Search a query in a 'search.idx' file
% RESULT = DOXYSEARCH(QUERY,FILENAME) looks for request QUERY
% in FILENAME (Doxygen search.idx format) and returns a list of
% files responding to the request in RESULT.
%
% See also DOXYREAD, DOXYWRITE
% Copyright (C)... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | doxywrite.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/m2html/private/doxywrite.m | 3,584 | utf_8 | 3255d8f824957ebc173dde374d0f78af | function doxywrite(filename, kw, statinfo, docinfo)
%DOXYWRITE Write a 'search.idx' file compatible with DOXYGEN
% DOXYWRITE(FILENAME, KW, STATINFO, DOCINFO) writes file FILENAME
% (Doxygen search.idx. format) using the cell array KW containing the
% word list, the sparse matrix (nbword x nbfile) with non-null value... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | doxyread.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/m2html/private/doxyread.m | 3,093 | utf_8 | 3152e7d26bf7ac64118be56f72832a20 | function [statlist, docinfo] = doxyread(filename)
%DOXYREAD Read a 'search.idx' file generated by DOXYGEN
% STATLIST = DOXYREAD(FILENAME) reads FILENAME (Doxygen search.idx
% format) and returns the list of keywords STATLIST as a cell array.
% [STATLIST, DOCINFO] = DOXYREAD(FILENAME) also returns a cell array
% con... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | imwrite2split.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/imwrite2split.m | 1,664 | utf_8 | 8fa6eef9378b3b9aa633d6c096cd78f7 | % Writes/reads a large set of images into/from multiple directories.
%
% This is useful since certain OS handle very large directories (of say
% >20K images) rather poorly (I'm talking to you Bill). Thus, can take
% 100K images, and write into 5 separate directories, then read them back
% in.
%
% USAGE
% I = ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | playmovies.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/playmovies.m | 1,997 | utf_8 | 6d94553879ed29dca7238d26459ec685 | % [4D] shows R videos simultaneously as a movie.
%
% Plays a movie.
%
% USAGE
% playmovies( I, [fps], [loop] )
%
% INPUTS
% I - MxNxTxR or MxNx1xTxR or MxNx3xTxR array (if MxNxT calls
% playmovie)
% fps - [100] maximum number of frames to display per second use
% fps==0 to ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | pca_apply_large.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/pca_apply_large.m | 2,132 | utf_8 | daf33ba3f73412c5d5b488d89b7cc495 | % Wrapper for pca_apply that allows for application to large X.
%
% Wrapper for pca_apply that splits and processes X in parts, this may be
% useful if processing cannot be done fully in parallel because of memory
% constraints. See pca_apply for usage.
%
% USAGE
% same as pca_apply
%
% INPUTS
% same as pca... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | montages2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/montages2.m | 2,335 | utf_8 | 3ff14e5c538db6af4c9e1c99144d7c15 | % MONTAGES2 [4D] Used to display R sets of T images each.
%
% Displays one montage (see montage2) per row. Each of the R image sets is
% flattened to a single long image by concatenating the T images in the
% set. Alternative to montages.
%
% USAGE
% varargout = montages2( IS, [montage2prms], [padSiz] )
%
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | filter_gauss_1D.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/filter_gauss_1D.m | 1,178 | utf_8 | 42acb7f8ac4ce94b6dc1dabe1e51e313 | % 1D Gaussian filter.
%
% Equivalent to (but faster then):
% f = fspecial('Gaussian',[2*r+1,1],sigma);
% f = filter_gauss_nD( 2*r+1, r+1, sigma^2 );
%
% USAGE
% f = filter_gauss_1D( r, sigma, [show] )
%
% INPUTS
% r - filter size=2r+1, if r=[] -> r=ceil(2.25*sigma)
% sigma - standard deviation o... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | getargs.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/getargs.m | 3,550 | utf_8 | b8ee235c28195894f0743b6cd00fd609 | % Utility to process parameter name/value pairs.
%
% DEPRECATED -- ONLY USED BY KMEANS2? SHOULD BE REMOVED.
% USE GETPARAMDEFAULTS INSTEAD.
%
% Based on code fromt Matlab Statistics Toolobox's "private/statgetargs.m"
%
% [EMSG,A,B,...]=GETARGS(PNAMES,DFLTS,'NAME1',VAL1,'NAME2',VAL2,...)
% accepts a cell array ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | normxcorrn_fg.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/normxcorrn_fg.m | 2,771 | utf_8 | c0817b10bbc5d1793efad5fa7b4932ac | % Normalized n-dimensional cross-correlation with a mask.
%
% Similar to normxcorrn, except takes an additional argument that specifies
% a figure ground mask for the T. That is T_fg must be of the same
% dimensions as T, with each entry being 0 or 1, where zero specifies
% regions to ignore (the ground) and 1 sp... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | makemovie.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/makemovie.m | 1,313 | utf_8 | 7cadf737855cee5cb9a336e1204773c4 | % [3D] Used to convert a stack of T images into a movie.
%
% To display same data statically use montage.
%
% USAGE
% M = makemovies( IS )
%
% INPUTS
% IS - MxNxT or MxNx1xT or MxNx3xT array of movies.
%
% OUTPUTS
% M - resulting movie
%
% EXAMPLE
% load( 'images.mat' );
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | localsum_block.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/localsum_block.m | 845 | utf_8 | d420d188aa320337183491498c7cc483 | % Calculates the sum in non-overlapping blocks of I of size dims.
%
% Similar to localsum except gets sum in non-overlapping windows.
% Equivalent to doing localsum, and then subsampling (except more
% efficient).
%
% USAGE
% I = localsum_block( I, dims )
%
% INPUTS
% I - matrix to compute sum over
%... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | imrotate2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/imrotate2.m | 1,367 | utf_8 | 21148eb1e941255d74de56b5cb8994b1 | % Custom version of imrotate that demonstrates use of apply_homography.
%
% Works exactly the same as imrotate. For usage see imrotate.
%
% USAGE
% IR = imrotate2( I, angle, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% angle - angle to rotate in degrees
% method - ['linea... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | imSubsResize.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/imSubsResize.m | 1,379 | utf_8 | 7bcc46113f2b8619d539a20ecb5a1835 | % Resizes subs by resizVals.
%
% Resizes subs in subs/vals image representation by resizVals.
%
% This essentially replaces each sub by sub.*resizVals. The only subtlety
% is that in images the leftmost sub value is .5, so for example when
% resizing by a factor of 2, the first pixel is replaced by 2 pixels and ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | imtranslate.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/imtranslate.m | 1,221 | utf_8 | 8a46326f7c0b520a89e2c4a153118ec9 | % Translate an image to subpixel accuracy.
%
% Note that for subplixel accuracy cannot use nearest neighbor interp.
%
% USAGE
% IR = imtranslate( I, dx, dy, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% dx - x translation (right)
% dy - y translation (up)
% method ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | randperm2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/randperm2.m | 1,444 | utf_8 | b8dc96688b2afddb3bd486803d3847b5 | % Returns a random permutation of integers.
%
% randperm2(n) is a random permutation of the integers from 1 to n. For
% example, randperm2(6) might be [2 4 5 6 1 3]. randperm2(n,k) is only
% returns the first k elements of the permuation, so for example
% randperm2(6) might be [2 4]. This is a faster version of ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | apply_homography.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/apply_homography.m | 3,676 | utf_8 | 18c79558e14e422d02c755d8363c7460 | % Applies the homography defined by H on the image I.
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/ column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a string that
% can be 'loose' (default) or 'crop'.... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | pca_apply.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/pca_apply.m | 2,506 | utf_8 | 4f38cdb1a3375943269e24dc6be6af65 | % Companion function to pca.
%
% Use pca to retrieve the principal components U and the mean mu from a
% set fo vectors X1 via [U,mu,vars] = pca(X1). Then given a new
% vector x, use y = pca_apply( x, U, mu, vars, k ) to get the first k
% coefficients of x in the space spanned by the columns of U. See pca for
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | mode2.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/deprecated/mode2.m | 765 | utf_8 | f6b3681635cfe16059c5483214fb9814 | % Returns the mode of a vector.
%
% Was mode not part of Matlab before?
%
% USAGE
% y = mode2( x )
%
% INPUTS
% x - vector of integers
%
% OUTPUTS
% y - mode
%
% EXAMPLE
% x = randint2( 1, 10, [1 3] )
% mode(x), mode2( x )
%
% See also MODE
% Piotr's Image&Video Toolbox Version 1.5
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | savefig.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/external/other/savefig.m | 13,343 | utf_8 | 5e55383fee448146f66f14d4c342b027 | function savefig(fname, varargin)
% Usage: savefig(filename, fighdl, options)
%
% Saves a pdf, eps, png, jpeg, and/or tiff of the contents of the fighandle's (or current) figure.
% It saves an eps of the figure and the uses Ghostscript to convert to the other formats.
% The result is a cropped, clean picture. There a... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | dirSynch.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/matlab/dirSynch.m | 4,749 | utf_8 | 8e959daf7125509e5d753828f89c5721 | function dirSynch( root1, root2, showOnly, flag, ignDate )
% Synchronize two directory trees (or show differences between them).
%
% If a file or directory 'name' is found in both tree1 and tree2:
% 1) if 'name' is a file in both the pair is considered the same if they
% have identical size and identical date... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | plotRoc.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/matlab/plotRoc.m | 4,745 | utf_8 | 70f35f3a4a699b9b1a8dfcc07f266686 | function [h,det] = plotRoc( D, varargin )
% Function for display of rocs (receiver operator characteristic curves).
%
% Displays nice clearly visible curves. Consistent usage ensures uniform
% look for rocs. The input D should have n rows, each of which is of the
% form [false-positive rate true-positive rate]. D ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | simpleCache.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/matlab/simpleCache.m | 4,773 | utf_8 | bc0419795858dfe7124c77226c97ae49 | function varargout = simpleCache( op, cache, varargin )
% A simple cache that can be used to store results of computations.
%
% Can save and retrieve arbitrary values using a vector (includnig char
% vectors) as a key. Especially useful if a function must perform heavy
% computation but is often called with the sa... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | tpsInterpolate.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/matlab/tpsInterpolate.m | 1,749 | utf_8 | 67b09e42630dbc49e4c0c1a6728b812f | function [xsR,ysR] = tpsInterpolate( warp, xs, ys, show )
% Apply warp (obtained by tpsGetWarp) to a set of new points.
%
% USAGE
% [xsR,ysR] = tpsInterpolate( warp, xs, ys, [show] )
%
% INPUTS
% warp - [see tpsGetWarp] bookstein warping parameters
% xs, ys - points to apply warp to
% show - [1] ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | checkNumArgs.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/matlab/checkNumArgs.m | 3,957 | utf_8 | 09747b332bb38c3b649a390642f1db28 | function [ x, er ] = checkNumArgs( x, siz, intFlag, signFlag )
% Helper utility for checking numeric vector arguments.
%
% Runs a number of tests on the numeric array x. Tests to see if x has all
% integer values, all positive values, and so on, depending on the values
% for intFlag and signFlag. Also tests to se... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | medfilt1m.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/filters/medfilt1m.m | 3,127 | utf_8 | 390d33d58293d54211aa7255c9b9e220 | function y = medfilt1m( x, r, z )
% One-dimensional adaptive median filtering with missing values.
%
% Applies a width s=2*r+1 one-dimensional median filter to vector x, which
% may contain missing values (elements equal to z). If x contains no
% missing values, y(j) is set to the median of x(j-r:j+r). If x contai... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | FbMake.m | .m | MultiviewAppearanceTracker-master/lib/lib_dollar/filters/FbMake.m | 6,951 | utf_8 | 2234c44d8dfbcda481ec59a51fb396f3 | function FB = FbMake( dim, flag, show )
% Various 1D/2D/3D filterbanks (hardcoded).
%
% USAGE
% FB = FbMake( dim, flag, [show] )
%
% INPUTS
% dim - dimension
% flag - controls type of filterbank to create
% - if d==1
% 1: gabor filter bank for spatiotemporal stuff
% - i... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | cellStr.m | .m | MultiviewAppearanceTracker-master/lib/fgm/lib/cell/cellStr.m | 1,393 | utf_8 | 8b6c9d8d50a317c431bf6fb4d0aec9dd | function str = cellStr(varargin)
% Representing a cell array as a string.
%
% Input
% varargin - set of cell array, 1 x m (cell)
%
% Output
% str - string
%
% History
% create - Feng Zhou (zhfe99@gmail.com), 11-18-2010
% modify - Feng Zhou (zhfe99@gmail.com), 02-14-2012
% dimension
m = nargin;... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | equal.m | .m | MultiviewAppearanceTracker-master/lib/fgm/lib/basic/equal.m | 3,386 | utf_8 | d84839b75f3007433ae615bc443849f0 | function flag = equal(s, a, b, varargin)
% Testify whether two objs are equal.
% The obj can be 'numeric', 'cell', 'char' and 'struct'.
%
% Input
% s - name
% a - 1st obj
% b - 2nd obj
% varargin
% pr - prompt flag, {'y'} | 'n'
%
% Output
% flag - boolean flag
%
% History
% ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | psSv.m | .m | MultiviewAppearanceTracker-master/lib/fgm/lib/option/psSv.m | 3,746 | utf_8 | 941b7932e11c76610d131c291b575c76 | function [svL, path, prex, fold, subx] = psSv(option, varargin)
% Parse the save option and generate the output path.
% The input have 5 parameters:
% 'svL': save level, 0 | 1 | 2
% 0: do the algorithm every time and don't save
% 1: do the algorithm every time but save the result
% 2: d... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | fgm.m | .m | MultiviewAppearanceTracker-master/lib/fgm/src/asg/fgm/fgm.m | 13,972 | utf_8 | 1859ff9bde6c825b41498d088a26067c | function asg = fgm(KP, KQ, gphs, asgT, par)
% Factorized graph matching.
%
% Reference
% F. Zhou and F. De la Torre, "Factorized Graph Matching", in CVPR, 2012.
%
% Input
% KP - node affinity matrix, n1 x n2
% KQ - edge affinity matrix, m1 x m2
% gphs - graphs, 1 x 2 (cell)
% G -... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | conKnlGphK.m | .m | MultiviewAppearanceTracker-master/lib/fgm/src/asg/knl/conKnlGphK.m | 1,293 | utf_8 | 81dbc8a32d677f391e9b285444b666b5 | function K = conKnlGphK(KP, KQ, gphs)
% Compute the global affinity matrix for graph matching.
%
% Remark
% nn = n1 x n2
%
% Input
% KP - node-node affinity, n1 x n2
% KQ - edge-edge affinity, m1 x m2
% gphs - graphs, 1 x 2 (cell)
%
% Output
% K - affinity, nn x nn (sparse)
%
% History
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | cmumHuman.m | .m | MultiviewAppearanceTracker-master/lib/fgm/src/cmum/cmumHuman.m | 1,145 | utf_8 | 334453928594455e065fafacb8243e1c | function CMUM = cmumHuman
% Load ground label file for CMU Motion sequence.
%
% Output
% CMUM - a container
% tag - sequence name
% seg
% cnames
%
% History
% create - Feng Zhou (zhfe99@gmail.com), 12-29-2008
% modify - Feng Zhou (zhfe99@gmail.com), 10-09-2011
% specified in addPath.m
gl... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | jdqr.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/jdqr.m | 73,068 | utf_8 | b45810ddb5b2767c9289909175d1dc04 | function varargout=jdqr(varargin)
%JDQR computes a partial Schur decomposition of a square matrix or operator.
% Lambda = JDQR(A) returns the absolute largest eigenvalues in a K vector
% Lambda. Here K=min(5,N) (unless K has been specified), where N=size(A,1).
% JDQR(A) (without output argument) displays the K eige... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | lmnn.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/lmnn.m | 5,421 | utf_8 | 8d5b80dee8cf8730a96c0c415c5876fc | function [M, L, Y, C] = lmnn(X, labels)
%LMNN Learns a metric using large-margin nearest neighbor metric learning
%
% [M, L, Y, C] = lmnn(X, labels)
%
% The function uses large-margin nearest neighbor (LMNN) metric learning to
% learn a metric on the data set specified by the NxD matrix X and the
% corresponding Nx1 ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | d2p.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/d2p.m | 3,487 | utf_8 | 0c7024a8039ea16b937d283585883fc3 | function [P, beta] = d2p(D, u, tol)
%D2P Identifies appropriate sigma's to get kk NNs up to some tolerance
%
% [P, beta] = d2p(D, kk, tol)
%
% Identifies the required precision (= 1 / variance^2) to obtain a Gaussian
% kernel with a certain uncertainty for every datapoint. The desired
% uncertainty can be specified... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | cg_update.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/cg_update.m | 3,715 | utf_8 | 1556078ae7c31950ec738949384cf180 | % Version 1.000
%
% Code provided by Ruslan Salakhutdinov and Geoff Hinton
%
% Permission is granted for anyone to copy, use, modify, or distribute this
% program and accompanying programs and documents for any purpose, provided
% this copyright notice is retained and prominently displayed, along with
% a note saying t... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | lmvu.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/lmvu.m | 8,540 | utf_8 | c8003ed7ff0fd0e226776c42c72ad385 | function [mappedX, mapping] = lmvu(X, no_dims, K, LL)
%LMVU Performs Landmark MVU on dataset X
%
% [mappedX, mapping] = lmvu(X, no_dims, k1, k2)
%
% The function performs Landmark MVU on the DxN dataset X. The value of k1
% represents the number of nearest neighbors that is employed in the MVU
% constraints. The val... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | cca.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/cca.m | 14,846 | utf_8 | 935e971ffe825a64e0eb80c535d71ebb | function [Z, ccaEigen, ccaDetails] = cca(X, Y, EDGES, OPTS)
%
% Function [Z, CCAEIGEN, CCADETAILS] = CCA(X, Y, EDGES, OPTS) computes a low
% dimensional embedding Z in R^d that maximally preserves angles among input
% data X that lives in R^D, with the algorithm Conformal Component Analysis.
%
% The embedding Z is co... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | x2p.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/x2p.m | 3,597 | utf_8 | 4a102e94922f4af38e36c374dccbc5a2 | function [P, beta] = x2p(X, u, tol)
%X2P Identifies appropriate sigma's to get kk NNs up to some tolerance
%
% [P, beta] = x2p(xx, kk, tol)
%
% Identifies the required precision (= 1 / variance^2) to obtain a Gaussian
% kernel with a certain uncertainty for every datapoint. The desired
% uncertainty can be specifie... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | sammon.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/sammon.m | 7,108 | utf_8 | 8a1fccbea9525bbebae4039127005ea6 | function [y, E] = sammon(x, n, opts)
%SAMMON Performs Sammon's MDS mapping on dataset X
%
% Y = SAMMON(X) applies Sammon's nonlinear mapping procedure on
% multivariate data X, where each row represents a pattern and each column
% represents a feature. On completion, Y contains the corresponding
% co-ordin... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | sdecca2.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/sdecca2.m | 7,185 | utf_8 | e53979561adda6a23883da0e72af5bf6 | function [P, newY, L, newV, idx]= sdecca2(Y, snn, regularizer, relative)
% doing semidefinitve embedding/MVU with output being parameterized by graph
% laplacian's eigenfunctions..
%
% the algorithm is same as conformal component analysis except that the scaling
% factor there is set as 1
%
%
% function [P, newY, Y] ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | sparse_nn.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/sparse_nn.m | 972 | utf_8 | df5da172f954ec2f53125a04787cf2d3 | %SPARSE_NN
%
% This file is part of the Matlab Toolbox for Dimensionality Reduction.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of ... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | jdqz.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/techniques/jdqz.m | 78,986 | utf_8 | be67a038982588a6ac9cbc2d36f009e8 | function varargout=jdqz(varargin)
%JDQZ computes a partial generalized Schur decomposition (or QZ
% decomposition) of a pair of square matrices or operators.
%
% LAMBDA=JDQZ(A,B) and JDQZ(A,B) return K eigenvalues of the matrix pair
% (A,B), where K=min(5,N) and N=size(A,1) if K has not been specified.
%
% [X,J... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | lnst.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/lnst.m | 891 | utf_8 | 93ca6136f90181897631256d58517558 | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | scatter12n.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/scatter12n.m | 1,348 | utf_8 | 65c091a54cbbe59f0a7ddef27fcc2c3f | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | not_calculated.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/not_calculated.m | 7,818 | utf_8 | 07c7ebdd2ecb821df6d1b4ccd5f47662 | function varargout = not_calculated(varargin)
% NOT_CALCULATED M-file for not_calculated.fig
% NOT_CALCULATED by itself, creates a new NOT_CALCULATED or raises the
% existing singleton*.
%
% H = NOT_CALCULATED returns the handle to a new NOT_CALCULATED or the handle to
% the existing singleton... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | choose_method.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/choose_method.m | 5,483 | utf_8 | 7fcb2ff0eb7f662fc75d652d9c440d65 | function varargout = choose_method(varargin)
% CHOOSE_METHOD M-file for choose_method.fig
% CHOOSE_METHOD, by itself, creates a new CHOOSE_METHOD or raises the existing
% singleton*.
%
% H = CHOOSE_METHOD returns the handle to a new CHOOSE_METHOD or the handle to
% the existing singleton*.
%
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | load_data_1_var.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/load_data_1_var.m | 4,902 | utf_8 | 5b70e8dd70f9e4386ea769372ed55ffe | function varargout = load_data_1_var(varargin)
% LOAD_DATA_1_VAR M-file for load_data_1_var.fig
% LOAD_DATA_1_VAR, by itself, creates a new LOAD_DATA_1_VAR or raises the existing
% singleton*.
%
% H = LOAD_DATA_1_VAR returns the handle to a new LOAD_DATA_1_VAR or the handle to
% the existing s... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | plotn.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/plotn.m | 4,103 | utf_8 | e9c0840dca614923d10952e9b37f06c5 | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | scattern.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/scattern.m | 3,651 | utf_8 | bf506a19215a7e0b4cb62da12fa09d16 | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | no_history.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/no_history.m | 7,508 | utf_8 | d5c85b897eeca97b3e37ea41551de2b1 | function varargout = no_history(varargin)
% NO_HISTORY M-file for no_history.fig
% NO_HISTORY by itself, creates a new NO_HISTORY or raises the
% existing singleton*.
%
% H = NO_HISTORY returns the handle to a new NO_HISTORY or the handle to
% the existing singleton*.
%
% NO_HISTORY('CALLBACK',... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | load_data_vars.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/load_data_vars.m | 7,943 | utf_8 | 3e892de48b2b883da0e7121eb6b7cfbc | function varargout = load_data_vars(varargin)
% LOAD_DATA_VARS M-file for load_data_vars.fig
% LOAD_DATA_VARS, by itself, creates a new LOAD_DATA_VARS or raises the existing
% singleton*.
%
% H = LOAD_DATA_VARS returns the handle to a new LOAD_DATA_VARS or the handle to
% the existing singleto... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | mapping_parameters.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/mapping_parameters.m | 24,066 | utf_8 | ddb259e8821b5440a07fc05910595864 | function varargout = mapping_parameters(varargin)
% MAPPING_PARAMETERS M-file for mapping_parameters.fig
% MAPPING_PARAMETERS, by itself, creates a new MAPPING_PARAMETERS or raises the existing
% singleton*.
%
% H = MAPPING_PARAMETERS returns the handle to a new MAPPING_PARAMETERS or the handle to
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | load_xls.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/load_xls.m | 4,845 | utf_8 | 98f040ec0685b024ddf99d454fea770d | function varargout = load_xls(varargin)
% LOAD_XLS M-file for load_xls.fig
% LOAD_XLS, by itself, creates a new LOAD_XLS or raises the existing
% singleton*.
%
% H = LOAD_XLS returns the handle to a new LOAD_XLS or the handle to
% the existing singleton*.
%
% LOAD_XLS('CALLBACK',hObject,eventDa... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | drtool.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/drtool.m | 53,916 | utf_8 | 97eef574b456ce6b07294fb0ee589135 | function varargout = drtool(varargin)
% DRTOOL M-file for drtool.fig
% DRTOOL, by itself, creates a new DRTOOL or raises the existing
% singleton*.
%
% H = DRTOOL returns the handle to a new DRTOOL or the handle to
% the existing singleton*.
%
% DRTOOL('CALLBACK',hObject,eventData,handl... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | plot12n.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/plot12n.m | 1,356 | utf_8 | 8a16c46e9b838f4602a5af8fc8a857a8 | % This file is part of the Matlab Toolbox for Dimensionality Reduction v0.7.2b.
% The toolbox can be obtained from http://homepage.tudelft.nl/19j49
% You are free to use, change, or redistribute this code in any way you
% want for non-commercial purposes. However, it is appreciated if you
% maintain the name of th... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | not_loaded.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/not_loaded.m | 7,728 | utf_8 | a754380baacab27eac13658ea4cc21a3 | function varargout = not_loaded(varargin)
% NOT_LOADED M-file for not_loaded.fig
% NOT_LOADED by itself, creates a new NOT_LOADED or raises the
% existing singleton*.
%
% H = NOT_LOADED returns the handle to a new NOT_LOADED or the handle to
% the existing singleton*.
%
% NOT_LOADED('CA... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | load_data.m | .m | MultiviewAppearanceTracker-master/lib/drtoolbox/gui/load_data.m | 6,534 | utf_8 | ade0538cbeeb79ed3c72aea5743a2424 | function varargout = load_data(varargin)
% LOAD_DATA M-file for load_data.fig
% LOAD_DATA, by itself, creates a new LOAD_DATA or raises the existing
% singleton*.
%
% H = LOAD_DATA returns the handle to a new LOAD_DATA or the handle to
% the existing singleton*.
%
% LOAD_DATA('CALLBACK'... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | invertHOG.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/invertHOG.m | 2,952 | utf_8 | 831e6a6953cb747f837843f483bcf931 | % invertHOG(feat)
%
% This function recovers the natural image that may have generated the HOG
% feature 'feat'. Usage is simple:
%
% >> feat = features(im, 8);
% >> ihog = invertHOG(feat);
% >> imagesc(ihog); axis image;
%
% By default, invertHOG() will load a prelearned paired dictionary to perform
% the invers... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | hoggles.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/hoggles.m | 491 | utf_8 | c742a4e8f5dd0ffa436ea63aae099e25 | function vis = hoggles(im),
if length(size(im)) == 2,
im = repmat(im, [1 1 3]);
end
feat = features(im, 8);
ihog = invertHOG(feat);
ihog = hoggles_process(ihog, size(im), 5);
glyph = HOGpicture(feat);
glyph = hoggles_process(glyph, size(im), 5);
im = padarray(im, [5 5], 0.5);
vis = [im ihog glyph];
function i... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | visualizeHOGbatch.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/visualizeHOGbatch.m | 1,470 | utf_8 | 7a3b5f6fc57dd9fbe419ecc9b12664ac | % visualizeHOGbatch(inframes, outframes)
%
% This function is designed to run on a cluster. It processes all the images in
% the input directory, and outputs visualizations in the out frames directory.
% It processes frames in random orders and creates lock files so you can invoke
% this process many times without dupl... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | diagnoseHOG.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/diagnoseHOG.m | 632 | utf_8 | b36f4da5d4e1ede0c6e857654cd5f2d5 | % diagnoseHOG(feat)
%
% Produces a figure with a large number of HOG visualizations for easier
% diagnosis of HOG.
function diagnoseHOG(feat),
fprintf('ihog: visualize: ');
clf;
fprintf('.');
subplot(221);
imagesc(visualizeHOG(feat));
axis image;
title('HOG Visualization');
drawnow;
fprintf('.');
subplot(222);
imag... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | spreadHOG.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/spreadHOG.m | 869 | utf_8 | fb34155cd206958f5a656f857f05a403 | % spreadHOG(feat)
%
% Shows the HOG channels seperately.
function out = spreadHOG(feat),
bord = 10;
ny = size(feat,1)*8+16+2*bord;
nx = (size(feat,2)*8+16+bord)*2;
nf = size(feat, 3);
bigfig = ones(ny*4, nx*9) * 0.5;
fprintf('ihog: spread: ');
for i=1:nf,
fprintf('.');
f = zeros(size(feat));
f(:, :, i) = feat(:,... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | HOGpicture.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/HOGpicture.m | 751 | utf_8 | c64344ec15f252f4c4631d3ad2b267f6 | % HOGpicture(w)
%
% Make picture of positive HOG weights.
% im = HOGpicture(w, bs)
function im = HOGpicture(w, bs)
if ~exist('bs', 'var'),
bs = 20;
end
% construct a "glyph" for each orientaion
bim1 = zeros(bs, bs);
bim1(:,round(bs/2):round(bs/2)+1) = 1;
bim = zeros([size(bim1) 9]);
bim(:,:,1) = bim1;
for i = 2:9... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | showHOG.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/showHOG.m | 498 | utf_8 | ecec1d840c6ac131b6ae87b562764aad | % showHOG(w)
%
% Legacy HOG visualization
function out = showHOG(w)
% Make pictures of positive and negative weights
bs = 20;
pos = HOGpicture(w, bs);
neg = HOGpicture(-w, bs);
% Put pictures together and draw
buff = 10;
if min(w(:)) < 0
pos = padarray(pos, [buff buff], 0.5, 'both');
neg = padarray(neg, [buff buf... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | visualizeHOG.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/visualizeHOG.m | 1,169 | utf_8 | 88da10ec62c919224b8727509c6048cd | % visualizeHOG(feat)
%
% This function provides a diagnostic visualization of a HOG feature. This is
% meant to be a drop-in replacement for the voc-release5 framework.
%
% Usage is simple:
% >> feat = features(im, 8);
% >> visualizeHOG(feat);
%
% and the current figure will contain both the standard HOG glyph vis... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | dissectHOG.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/dissectHOG.m | 1,418 | utf_8 | 9dae41391214188baa9cabc23a4f7393 | % dissectHOG(feat)
%
% This function shows the HOG inverse for different HOG channels: unsigned
% gradients, signed gradients, and texture gradients.
function out = dissectHOG(feat),
fprintf('ihog: dissect: ');
fprintf('.');
ihog = invertHOG(feat);
fprintf('.');
unsigned = zeros(size(feat));
unsigned(:, :, 19:27) =... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | visualizeSquare.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/visualizeSquare.m | 902 | utf_8 | 2e300e71dc1cf3fd19d48a98af4407e3 | % visualizeSquare(output)
%
% This function translates a black square in a toy image, computes HOG on it,
% inverts it. Notice how this function reveals some invariances of HOG: while
% the square moves every frame, the inverse square snaps to the nearest HOG
% cell boundary.
%
% This function takes a single parameter:... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | interpolateHOG.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/interpolateHOG.m | 690 | utf_8 | 74206507d6f5a37f9fb48b67f0f25b8d | % interpolateHOG(left, right, steps)
%
% Interpolates between 'left' and 'right' in HOG space, inverting the path.
% Uses 'n' steps between endpoints. If 'n' is not specified, show 10 steps.
function out = interpolateHOG(left, right, n),
if ~exist('n', 'var'),
n = 10;
end
bord = 5;
ny = size(left,1)*8+16+2*bord;
nx... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | HOGtexture.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/visualizations/HOGtexture.m | 822 | utf_8 | bd4cbd059707c28cc35cdb79da5e3559 | % HOGtexture(feat)
%
% Creates a visualization of the HOG texture features. For each HOG cell, it
% builds a histogram and attempts to visualize it spatially.
function bigfig = HOGtexture(feat),
texture = feat(:, :, 9*3+1:end);
[ny,nx,nf] = size(texture);
for k=1:nf,
t = texture(:, :, k);
texture(:, :, k) = textur... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | nmf.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/spams/src_release/nmf.m | 3,099 | utf_8 | 04975453432077d74521a3a5fe37cf74 | %
% Usage: [U [,V]]=nmf(X,param);
%
% Name: nmf
%
% Description: mexTrainDL is an efficient implementation of the
% non-negative matrix factorization technique presented in
%
% "Online Learning for Matrix Factorization and Sparse Coding"
% by Julien Mairal, Francis Bach, Jean Ponce and Guillermo Sapiro
... |
github | santhosh-kumar/MultiviewAppearanceTracker-master | learnpairdict.m | .m | MultiviewAppearanceTracker-master/lib/ihog-master/internal/learnpairdict.m | 4,811 | utf_8 | a5fe2e42dc77afcc2facaf999235b20c | % learnpairdict(stream, n, k, size)
%
% This function learns a pair of dictionaries 'dgray' and 'dhog' to allow for
% regression between HOG and grayscale images.
%
% Arguments:
% stream List of filepaths where images are located
% n Number of window patches to extract in total
% k The size of ... |
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