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 | basson86/3D_IR_Thermal_Mapping-master | calibrate_kinect_r2s.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_kinect_r2s.m | 2,671 | utf_8 | 7bf426a54bb56d37b9292b931a629d15 | %[params]=calibrate_kinect_r2s(raw_params, options, params0)
% Converts a params array into a params struct. Used by calibrate_kinect()
%
% Kinect calibration toolbox by DHC
function [params]=calibrate_kinect_r2s(raw_params, options, params0)
%Initializes default values and extra parameters
params = params0;
ccount ... |
github | basson86/3D_IR_Thermal_Mapping-master | do_calib.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/do_calib.m | 6,603 | utf_8 | afa6cfb30be10f7a6798020ec78fd866 | %do_calib()
% UI function
% Kinect calibration toolbox by DHC
function do_calib(use_depth_kc,use_depth_distortion)
%Inputs
global rgb_grid_p rgb_grid_x
global dataset_path dfiles depth_plane_mask
global calib0
global max_depth_sample_count
%Outputs
global is_validation
global final_calib final_calib_error
%Check prev... |
github | basson86/3D_IR_Thermal_Mapping-master | read_disparity.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/read_disparity.m | 1,540 | utf_8 | f93ff0d891d31f50719815b326681d5f | %imd = read_disparity(filename)
% Reads a disparity image from disk. Corrects endianness issues. Replaces
% 'nan_value' values with NaNs. Default for nan_value is 2047.
%
% Kinect calibration toolbox by DHC
function imd = read_disparity(filename, nan_value)
if(nargin < 2)
nan_value = 2047;%4095;
end
use_custom_read... |
github | basson86/3D_IR_Thermal_Mapping-master | ginput3.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/ginput3.m | 6,340 | utf_8 | 869181e1b50c6e6d9ec08c1724eb5297 | function [out1,out2,out3] = ginput3(arg1)
%GINPUT Graphical input from mouse.
% [X,Y] = GINPUT(N) gets N points from the current axes and returns
% the X- and Y-coordinates in length N vectors X and Y. The cursor
% can be positioned using a mouse (or by using the Arrow Keys on some
% systems). Data points a... |
github | basson86/3D_IR_Thermal_Mapping-master | count_squares.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/count_squares.m | 1,444 | utf_8 | 9a0df3eed73ea4a768ab98cd59525704 | %Function from Bouguet's camera calibration toolbox.
function ns = count_squares(I,x1,y1,x2,y2,win);
[ny,nx] = size(I);
if ((x1-win <= 0) || (x1+win >= nx) || (y1-win <= 0) || (y1+win >= ny) || ...
(x2-win <= 0) || (x2+win >= nx) || (y2-win <= 0) || (y2+win >= ny))
ns = -1;
return;
end;
if ((x1 - x2)... |
github | basson86/3D_IR_Thermal_Mapping-master | batman.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/batman.m | 969 | utf_8 | 2e2c2ff85ead6cc4da10ccdfd86b388d | function batman()
ezplot(@batman_values,10*[-1 1 -1 1]);
end
function res=batman_values(x,y)
m= 1e100;
a = abs(x)-3;
valid = (abs(a)./a) >= 0;
b = (x./7).^2;
a = y+3.*33^0.5./7;
valid = valid & (abs(a)./a) >= 0;
c = (y/3).^2;
r = b+c-1;
r = r.*valid + ~valid*m;
a = 1-(abs(abs(x)-2)-1).^2;
valid = a>=0;
s = abs(x... |
github | basson86/3D_IR_Thermal_Mapping-master | do_fixed_depth_calib.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/do_fixed_depth_calib.m | 548 | utf_8 | 4a318cad25c0bf2a7dcd15615639bb5c | %do_fixed_depth_calib()
% UI function
% Kinect calibration toolbox by DHC
function do_fixed_depth_calib()
%Outputs
global calib0
fprintf('-------------------\n');
fprintf('Using known values for initial depth camera calibration\n');
fprintf('-------------------\n');
calib0.dK = [ 590 0 320;
0 590 230;
... |
github | basson86/3D_IR_Thermal_Mapping-master | plot_depth_overlay.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/plot_depth_overlay.m | 588 | utf_8 | 08d9249ac7405d1c4e0fd993cc4fd0d8 | % plot_depth_overlay(calib,k,im,imd,splat_size)
% im - can be an image or the index i into rfiles{k}{i} if it is an index
% imd is not needed.
function plot_depth_overlay(calib,k,im,imd,splat_size)
global dataset_path rfiles dfiles
global rsize
if(nargin <5)
splat_size = 1;
end
if(ischar(im))
im = imread(im);
i... |
github | basson86/3D_IR_Thermal_Mapping-master | calibrate_kinect_options.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_kinect_options.m | 743 | utf_8 | e9f27b3a7c2638f0970de0310fb4e8e2 | % options=calibrate_kinect_options()
% Creates the options struct for calibrate_kinect().
% Set the different use_fixed_* fields to control the degrees of freedom in
% the minimization.
%
% Kinect calibration toolbox by DHC
function options=calibrate_kinect_options()
options.use_fixed_dK = false;
options.use_fixed_dk... |
github | basson86/3D_IR_Thermal_Mapping-master | extract_grid.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/extract_grid.m | 9,441 | utf_8 | 43ae91c087be92595e42c45e8c4ba99e | %Function from Bouguet's camera calibration toolbox.
% Modified by Daniel Herrera C. - Adapted to the Kinect Calibration Toolbox
function [x,X,n_sq_x,n_sq_y,ind_orig,ind_x,ind_y] = extract_grid(I,wintx,winty,fc,cc,kc,dX,dY,xr,yr,click_mode);
if nargin < 11,
click_mode = 0;
end;
if nargin < 10,
xr = [];
y... |
github | basson86/3D_IR_Thermal_Mapping-master | reorder_corners.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/reorder_corners.m | 4,936 | utf_8 | 41c43f74158be177a886b10b88dc62c1 | function [pp,xx,corner_count_x]=reorder_corners(p,dx)
count = size(p,2);
if(count == 0)
pp = [];
xx = [];
return
end
if(size(p,1)~=2)
error('p must be 2xN');
end
p(3,:) = 1;
%Origin corner
ptemp = p;
[~,i] = min(ptemp(1,:));
pref = ptemp(:,i);
ptemp(:,i) = [];
[p1,i] = ... |
github | basson86/3D_IR_Thermal_Mapping-master | plane2extrinsics.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/plane2extrinsics.m | 909 | utf_8 | 26948419164953cbdd358b7c67741dc6 | %[R,t]=plane2extrinsics(N,d)
% Extracts the extrinsics (rotation and translation) from the
% calibration plane parameters (normal and distance from origin).
% Only the third column of the rotation and one entry of the translation
% are constrained by the plane parameters. The other values are arbitrary.
%
% Kinect cal... |
github | basson86/3D_IR_Thermal_Mapping-master | depth_extern_calib.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/depth_extern_calib.m | 1,400 | utf_8 | d7225662ef7229113cfc4bb5b80c93b2 | function [Rext,text,cost]=depth_extern_calib(calib, depth_plane_points, depth_plane_disparity)
%Initial guess
Xw = disparity2world(depth_plane_points(1,:),...
depth_plane_points(2,:),...
depth_plane_disparity,...
calib);
[N0,d0] = fit_plane(X... |
github | basson86/3D_IR_Thermal_Mapping-master | depth2disparity.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/depth2disparity.m | 713 | utf_8 | 920f45eab0179451e59fb400bea923db | %disp_d=depth2disparity(u,v,w,dc,dc_alpha,dc_beta)
% Converts a depth value into a kinect disparity value.
%
% u pixel column coordinate (zero based)
% v pixel row coordinate (zero based)
% w third coordinate (z) in depth image coordinates (in meters)
% calib.dc depth coefficients
%
% disp disparity (distorted, as wou... |
github | basson86/3D_IR_Thermal_Mapping-master | rotationpars.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/rotationpars.m | 376 | utf_8 | 5e467689e132e8767645691d551f0773 | % by Juho Kannala
%Matrix form of rotation to vector form (Rodriguez formula)
function t=rotationpars(R)
[V,D]=eig(R-eye(3));
evs=diag(D);
[minv,mini]=min(evs);
vect=V(:,mini);
cosphi=0.5*(trace(R)-1);
sinphi=0.5*vect'*[ R(3,2)-R(2,3); R(1,3)-R(3,1); R(2,1)-R(1,2)];
%if cosphi==0
% phi=pi/2;
%else
% phi=atan(sinph... |
github | basson86/3D_IR_Thermal_Mapping-master | do_initial_rgb_calib.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/do_initial_rgb_calib.m | 4,673 | utf_8 | 11b04a47accb5cf03827963d1cb2ef6e | %do_initial_rgb_calib()
% UI function
% Kinect calibration toolbox by DHC
function do_initial_rgb_calib(use_fixed_init)
%Inputs
global dataset_path rfiles
global rgb_grid_p rgb_grid_x
%Outputs
global calib0
%Check previous steps
if(isempty(rgb_grid_p))
do_select_rgb_corners();
end
fprintf('-------------------\n');... |
github | basson86/3D_IR_Thermal_Mapping-master | calibrate_kinect_cost_color.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_kinect_cost_color.m | 773 | utf_8 | 800f8b504f771b13ee988ad03f1ea13e | % cost=calibrate_kinect_cost_color(params,options,rgb_grid_p,rgb_grid_x)
% Cost for color images, used by calibrate_kinect_cost.
%
% Kinect calibration toolbox by DHC
function cost=calibrate_kinect_cost_color(params,options,rgb_grid_p,rgb_grid_x)
ccount = length(rgb_grid_p);
cost=cell(1,ccount);
for k=1:ccount
tota... |
github | basson86/3D_IR_Thermal_Mapping-master | do_rgb_depthmap.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/do_rgb_depthmap.m | 893 | utf_8 | 65c71c993e9c092e5e903fa64d1a9cad | %do_rgb_depthmap()
% UI function.
% Kinect calibration toolbox by DHC
function do_rgb_depthmap()
global rsize final_calib
if(isempty(final_calib))
fprintf('Must perform calibration first.\n')
return
end
filename = input('Depth image to project to rgb coordinates: ','s');
if(isempty(dir(filename)))
fprintf('Fil... |
github | basson86/3D_IR_Thermal_Mapping-master | normalize_k.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/normalize_k.m | 1,916 | utf_8 | ae83a8d2e0a89e4b2db49495233a2757 | function [xn] = normalize_k(p,K,kc)
xd = [(p(1,:) - K(1,3))/K(1,1);(p(2,:) - K(2,3))/K(2,2)];
minimization_options=optimset(...
'LargeScale','on',...
'Algorithm','levenberg-marquardt',...
'Jacobian','on',...
'Display','none',...
'TolFun',1e-3,...
'TolX',1e-3,...
'MaxFunEvals',20000,..... |
github | basson86/3D_IR_Thermal_Mapping-master | normalize.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/normalize.m | 1,092 | utf_8 | e2b35b58332bd2c649e797b15a679aa9 | %This function adapted from Bouguet's camera calibration toolbox.
function [xn] = normalize(x_kk,K,kc)
%
%normalize
%
%[xn] = normalize(x_kk,fc,cc,kc,alpha_c)
%
%Computes the normalized coordinates xn given the pixel coordinates x_kk
%and the intrinsic camera parameters fc, cc and kc.
%
%INPUT: x_kk: Feature locations ... |
github | basson86/3D_IR_Thermal_Mapping-master | find_images.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/find_images.m | 1,640 | utf_8 | a18305728229195827e470449d5d6ab3 | %find_images - Searches the given path to find the calibration images.
%Input
% path [string] the path where images are located
% rfile_format {1xK}[string] format of the filenames for the K color
% cameras. Used with sprintf(rfile_format{k},image_number).
% dfile_format [string] format of the filename... |
github | basson86/3D_IR_Thermal_Mapping-master | calibrate_kinect_cost_depth.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_kinect_cost_depth.m | 1,153 | utf_8 | 7b74ec01b175c0d85a30c9ec08f12625 | % cost=calibrate_kinect_cost_depth(params,options,depth_plane_points,depth_plane_disparity)
% Cost for depth images, used by calibrate_kinect_cost.
%
% Kinect calibration toolbox by DHC
function cost=calibrate_kinect_cost_depth(params,options,depth_plane_points,depth_plane_disparity)
total_count = sum( cellfun(@length... |
github | basson86/3D_IR_Thermal_Mapping-master | do_save_calib.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/do_save_calib.m | 1,700 | utf_8 | e22ab17e4da9ed619bf07e96b5ef7056 | %do_save_calib()
% UI function. Saves calibration data to disk.
% Kinect calibration toolbox by DHC
function do_save_calib(path)
global dataset_path rfiles rsize dfiles
global rgb_grid_p rgb_grid_x
global depth_corner_p depth_corner_x
global depth_plane_poly depth_plane_mask
global calib0
global is_validation
global f... |
github | basson86/3D_IR_Thermal_Mapping-master | disparity2depth.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/disparity2depth.m | 558 | utf_8 | 23e080fe08b230fb3fee5b99bf0d6062 | %w=disparity2depth(disp,dc)
% Converts a kinect disparity value into a depth value.
%
% disp kinect disparity value
% calib.dc depth coefficients
% w third coordinate (z) in depth image coordinates
%
% Kinect calibration toolbox by DHC
function w=disparity2depth(u,v,disp,calib)
disp_k = undistort_disparity(u,v,disp,... |
github | basson86/3D_IR_Thermal_Mapping-master | calibrate_external_camera.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_external_camera.m | 2,859 | utf_8 | cb03ba5658c66d3b257a37d70064c5e2 | function [Rrel,trel,Ra,ta]=calibrate_external_camera(Xw,Ka,kca,Pa,Kb,kcb,Pb)
image_count = length(Xw);
assert(length(Pa)==image_count);
assert(length(Pb)==image_count);
%Initial calibration
Ha = cell(1,image_count);
Hb = cell(1,image_count);
Ra0 = cell(1,image_count);
ta0 = cell(1,image_count);
Rb0... |
github | basson86/3D_IR_Thermal_Mapping-master | click_ima_calib_rufli_k.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/click_ima_calib_rufli_k.m | 27,691 | utf_8 | 2294806e0bbd4abe4b50224ada20bb63 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2007 MARTIN RUFLI
%
% Initially written by Martin Rufli and modified by Davide Scaramuzza
% Adapted to the Kinect Toolbox by Daniel Herrera C.
%
% This program is free software; you can redistribute it and/or mod... |
github | basson86/3D_IR_Thermal_Mapping-master | tight_subplot.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/tight_subplot.m | 3,293 | utf_8 | 02bd7cb46f32f0226d25fbd566b0a4f8 | % tight_subplot creates "subplot" axes with adjustable gaps and margins
%
% ha = tight_subplot(Nh, Nw, gap, marg_h, marg_w)
%
% in: Nh number of axes in hight (vertical direction)
% Nw number of axes in width (horizontaldirection)
% gap gaps between the axes in normalized units (0...1)
% ... |
github | basson86/3D_IR_Thermal_Mapping-master | calibrate_kinect.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_kinect.m | 4,205 | utf_8 | 3e295d377d545f9eed0724b68efaec61 | %[params,params_error]=calibrate_kinect(options,rgb_grid_p,rgb_grid_x,depth_plane_points,depth_plane_disparity,params0)
% Performas a non-linear minimization of the calibration parameters using
% levenberg-marquardt algorithm.
%
% options struct created with calibrate_kinect_options()
% rgb_grid_p {K}{N}[2xP] cell arra... |
github | basson86/3D_IR_Thermal_Mapping-master | do_initial_depth_calib.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/do_initial_depth_calib.m | 2,977 | utf_8 | 8b6cff93ad8e72ac781707ed3f9b3170 | %do_initial_depth_calib()
% UI function
% Kinect calibration toolbox by DHC
function do_initial_depth_calib(use_well_known)
%Inputs
global dataset_path dfiles
global rgb_grid_p rgb_grid_x
global depth_corner_p depth_corner_x
global depth_plane_mask
global max_depth_sample_count
%Outputs
global calib0
if(nargin < 1)
... |
github | basson86/3D_IR_Thermal_Mapping-master | projectedGrid.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/projectedGrid.m | 513 | utf_8 | 20c779d1239160a873182ee242debfd7 | %Function from Bouguet's camera calibration toolbox.
function [XX,H] = projectedGrid ( P1, P2, P3, P4 , nx, ny);
% new formalism using homographies
a00 = [P1;1];
a10 = [P2;1];
a11 = [P3;1];
a01 = [P4;1];
% Compute the planart collineation:
[H] = compute_collineation (a00, a10, a11, a01);
% Build the grid using th... |
github | basson86/3D_IR_Thermal_Mapping-master | do_select_depth_corners.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/do_select_depth_corners.m | 1,639 | utf_8 | 4b6d50fa6009818740f6353782cb7f9b | %do_select_depth_corners()
% UI function.
% Kinect calibration toolbox by DHC
function do_select_depth_corners()
%Input
global dataset_path dfiles
%Output
global depth_corner_p depth_corner_x
%Check previous steps
if(isempty(dfiles))
do_select_images();
end
icount = length(dfiles);
fprintf('-------------------\n')... |
github | basson86/3D_IR_Thermal_Mapping-master | compute_rgb_depthmap.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/compute_rgb_depthmap.m | 1,779 | utf_8 | 388d42a31b613c94f4dee39bbbbef7e7 | %[depthmap,points]=compute_rgb_depthmap(imd,calib,im_size,splat_size)
% Back projects the disparity image to metric coordinates and projects it
% onto the rgb image to compute a depth map with rgb camera pixel
% coordinates.
%
% imd [HxW] kinect disparity image
% calib [struct] calibration data from the toolbox
% im_si... |
github | basson86/3D_IR_Thermal_Mapping-master | kinect_calib_gui.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/kinect_calib_gui.m | 7,587 | utf_8 | ddfc85c15a2ba172f080c2d8af4696e9 | function varargout = kinect_calib_gui(varargin)
% KINECT_CALIB_GUI M-file for kinect_calib_gui.fig
% KINECT_CALIB_GUI, by itself, creates a new KINECT_CALIB_GUI or raises the existing
% singleton*.
%
% H = KINECT_CALIB_GUI returns the handle to a new KINECT_CALIB_GUI or the handle to
% the existing ... |
github | basson86/3D_IR_Thermal_Mapping-master | rotationmat.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/rotationmat.m | 451 | utf_8 | 2c4c56198f06d5ae8c0d0586321bbe0c | % by Juho Kannala
%Vector form of rotation to matrix form (Rodriguez formula)
function R=rotationmat(t)
t=t(:);
phi=norm(t);
if 0
if phi==0
sincphi=1;
sc=0;
else
sc=(1-cos(phi))/(phi^2);
sincphi=sin(phi)/phi;
end
R=cos(phi)*eye(3)+sincphi*[0 -t(3) t(2); t(3) 0 -t(1); -t(2) t(1) 0]+sc*t*t';
end
if phi==0
R=... |
github | basson86/3D_IR_Thermal_Mapping-master | calib_distortion.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calib_distortion.m | 4,642 | utf_8 | 7e81e9be1b352cc6afdb77eb71d5b7f5 | function [alpha,im_beta]=calib_distortion(calib, Rext, text, dataset_path, dfiles, depth_plane_mask)
width = 640;
height = 480;
%Remove distortion correction from calib
alpha0 = calib.dc_alpha;
beta0 = calib.dc_beta;
calib.dc_alpha = [];
calib.dc_beta = [];
fprintf('Gathering samples...');
... |
github | basson86/3D_IR_Thermal_Mapping-master | calib_from_homographies.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calib_from_homographies.m | 1,818 | utf_8 | 32b169f6fd3cab652f5856d22e971536 | %[K,R,t]=calib_from_homographies(H)
%Computes calibration parameters using homographies
%Implemented directly from Zhang's '99 paper
% "Flexible Camera Calibration By Viewing a Plane From Unknown
% Orientations"
%
% H is a cell array of 3x3 homographies
% K is the [3x3] intrinsics matrix
% R is a cell array of 3x3 rota... |
github | basson86/3D_IR_Thermal_Mapping-master | calibrate_kinect_s2r.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_kinect_s2r.m | 3,027 | utf_8 | c951643ebcf4e6637a516fec0f1e819f | %raw_params = calibrate_kinect_s2r(params, options)
% Converts a params struct into a params array. Used by calibrate_kinect()
%
%Inputs:
% Fields of params:
% rK {K}[fx 0 u0; 0 fy v0; 0 0 1] intrinsics for rgb camera
% rkc {K}[1x5] distortion coefficients for rgb camera
% rR {K}[3x3] rotation matrix from camera k ... |
github | basson86/3D_IR_Thermal_Mapping-master | compute_homography.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/compute_homography.m | 3,586 | utf_8 | 71e1af159a6f4984c43032a29af625ea | %Function from Bouguet's camera calibration toolbox.
function [H,Hnorm,inv_Hnorm] = compute_homography(m,M);
%compute_homography
%
%[H,Hnorm,inv_Hnorm] = compute_homography(m,M)
%
%Computes the planar homography between the point coordinates on the plane (M) and the image
%point coordinates (m).
%
%INPUT: m: homogeneo... |
github | basson86/3D_IR_Thermal_Mapping-master | calibrate_kinect_cov2error.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/kinect_calibration_with_data_2_1/toolbox/calibrate_kinect_cov2error.m | 3,104 | utf_8 | 5bc4d2fad3eacf6cdfeb030f5ccfd082 | %[params_error]=calibrate_kinect_cov2error(raw_params_error, options, params)
% Converts a params covariance array into an param error struct.
%
% Kinect calibration toolbox by DHC
function [params_error]=calibrate_kinect_cov2error(raw_params_error, options, params)
ccount = length(params.rR);
image_count = length(par... |
github | basson86/3D_IR_Thermal_Mapping-master | qslim.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/qslim.m | 13,152 | utf_8 | 2ab54ac7408e720642cbe21d8b6927bd | function [NFV,smf_fname] = qslim(FV,varargin);
%QSLIM - Mesh simplification, wrapper function for Garland's QSLIM executable program
% function [NFV,smf_fname] = qslim(FV,varargin);
% varargin should be entered in pairs '<option>','<arg>'.
% Valid pairs used in this wrapper are:
%
% '-t', <n>
%
% Specify the desired... |
github | basson86/3D_IR_Thermal_Mapping-master | perform_triangle_flipping.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/perform_triangle_flipping.m | 1,848 | utf_8 | b6a78203795416882735031895a76703 | function face = perform_triangle_flipping(face, flips, options)
% perform_triangle_flipping - apply a sequence of flips to a triangulation
%
% face = perform_triangle_flipping(face, flips, options);
%
% Flip that are not topologically valid (either on a boundary edge or a
% flip that creates a double face) are s... |
github | basson86/3D_IR_Thermal_Mapping-master | perform_point_picking.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/perform_point_picking.m | 4,121 | utf_8 | 9c43a474845c0bc92e5d215f6eda9a88 | function perform_point_picking( PointCloud, face )
% function perform_point_picking( PointCloud, face );
%
% This function shows a 3D point cloud or a mesh and lets the user click select one
% of the points by clicking on it. The selected point will be highlighted
% and its index in the point cloud will be... |
github | basson86/3D_IR_Thermal_Mapping-master | select3d.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/select3d.m | 10,864 | utf_8 | 64f6b58cf8db75c3508f68035be9892e | function [pout, vout, viout, facevout, faceiout] = select3d(obj)
%SELECT3D(H) Determines the selected point in 3-D data space.
% P = SELECT3D determines the point, P, in data space corresponding
% to the current selection position. P is a point on the first
% patch or surface face intersected along the selection ... |
github | basson86/3D_IR_Thermal_Mapping-master | compute_parameterization.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/compute_parameterization.m | 7,662 | utf_8 | 1215e4168de2b431e1d81f0ea8df0af0 | function vertex1 = compute_parameterization(vertex,face, options)
% compute_parameterization - compute a planar parameterization
%
% vertex1 = compute_parameterization(vertex,face, options);
%
% options.method can be:
% 'parameterization': solve classical parameterization, the boundary
% is specifi... |
github | basson86/3D_IR_Thermal_Mapping-master | perform_dijkstra_propagation_old.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/perform_dijkstra_propagation_old.m | 4,965 | utf_8 | ca5b091b67041559476ea2e63c92f254 | function D = perform_dijkstra_propagation_old( G , S )
% dijkstra - Find shortest paths in graphs
%
% D = dijkstra_fast( G , S );
%
% use the full or sparse matrix G in which
% an entry (i,j) represents the arc length between nodes i and j in a
% graph. In a full matrix, the value INF represents the absence of a... |
github | basson86/3D_IR_Thermal_Mapping-master | compute_boundary.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/compute_boundary.m | 1,847 | utf_8 | 28c06ac30beb789fa90a2e484ba3f3a7 | function boundary=compute_boundary(face, options)
% compute_boundary - compute the vertices on the boundary of a 3D mesh
%
% boundary=compute_boundary(face);
%
% Copyright (c) 2007 Gabriel Peyre
options.null = 0;
verb = getoptions(options, 'verb', 1);
if size(face,1)<size(face,2)
face=face';
end
nvert=max(m... |
github | basson86/3D_IR_Thermal_Mapping-master | compute_geometric_laplacian.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/compute_geometric_laplacian.m | 5,583 | utf_8 | 3d9b6480df20fdff10d38f34983646cb | function L = compute_geometric_laplacian(vertex,face,type)
% compute_geometric_laplacian - return a laplacian
% of a given triangulation (can be combinatorial or geometric).
%
% L = compute_geometric_laplacian(vertex,face,type);
%
% Type is either :
% - 'combinatorial' : combinatorial laplacian, doesn't t... |
github | basson86/3D_IR_Thermal_Mapping-master | check_face_vertex.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/check_face_vertex.m | 669 | utf_8 | c940a837f5afef7c3a7f7aed3aff9f7a | function [vertex,face] = check_face_vertex(vertex,face, options)
% check_face_vertex - check that vertices and faces have the correct size
%
% [vertex,face] = check_face_vertex(vertex,face);
%
% Copyright (c) 2007 Gabriel Peyre
vertex = check_size(vertex,2,4);
face = check_size(face,3,4);
%%%%%%%%%%%%%%%%%%%%%%%... |
github | basson86/3D_IR_Thermal_Mapping-master | plot_graph.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/plot_graph.m | 2,140 | utf_8 | 337033b66fe405903639bcac59c2b34d | function h = plot_graph(A,xy, options)
% plot_graph - display a 2D or 3D graph.
%
% plot_graph(A,xy, options);
%
% options.col set the display (e.g. 'k.-')
%
% Copyright (c) 2006 Gabriel Peyre
if size(xy,1)>size(xy,2)
xy = xy';
end
if nargin<3
options.null = 0;
end
if not(isstruct(options))
col = op... |
github | basson86/3D_IR_Thermal_Mapping-master | perform_delaunay_flipping.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/perform_delaunay_flipping.m | 2,420 | utf_8 | 7c5e250e94e9e69d99c556c805b4d2fe | function [face, flips, flipsinv] = perform_delaunay_flipping(vertex,face,options)
% perform_delaunay_flipping - compute Dalaunay triangulation via flipping
%
% [face1, flips, flipsinv] = perform_delaunay_flipping(vertex,face,options);
%
% Set options.display_flips = 1 for graphical display.
%
% face is turned in... |
github | basson86/3D_IR_Thermal_Mapping-master | check_incircle_edge.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/check_incircle_edge.m | 1,633 | utf_8 | dca2fc799d9cf120df9156a15c47b5fa | function ic = check_incircle_edge(vertex, face, edge)
% check_incicle_edge - compute "empty circle" property for a set of edges
%
% ic = check_incicle_edge(vertex,face, edge);
%
% ic(i)==1 if edge(:,i) is delaunay valid (boundary or empty circles or non convex).
% It thus should be flipped if ic(i)==0.
%
% Cop... |
github | basson86/3D_IR_Thermal_Mapping-master | perform_faces_reorientation.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/perform_faces_reorientation.m | 2,816 | utf_8 | 2cf3d5c1ad6ea271b524352db5492c2c | function faces = perform_faces_reorientation(vertex,faces, options)
% perform_faces_reorientation - reorient the faces with respect to the center of the mesh
%
% faces = perform_faces_reorientation(vertex,faces, options);
%
% try to find a consistant reorientation for faces of a mesh.
%
% if options.method = 'fast... |
github | basson86/3D_IR_Thermal_Mapping-master | plot_spherical_triangulation.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/plot_spherical_triangulation.m | 1,397 | utf_8 | fde5d8ffb7898bb232257895ced3d53d | function plot_spherical_triangulation(svertex,face, options)
% plot_spherical_triangulation - display a nice spherical triangulation
%
% plot_spherical_triangulation(svertex,face,options);
%
% Copyright (c) 2008 Gabriel Peyre
options.null = 0;
hold on;
% draw a background sphere
[X,Y,Z] = sphere(30);
surf(X,Y... |
github | basson86/3D_IR_Thermal_Mapping-master | compute_mesh_weight.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/compute_mesh_weight.m | 2,783 | utf_8 | 435dabe64ab50ca5bf2c467bcbad6ab8 | function W = compute_mesh_weight(vertex,face,type,options)
% compute_mesh_weight - compute a weight matrix
%
% W = compute_mesh_weight(vertex,face,type,options);
%
% W is sparse weight matrix and W(i,j)=0 is vertex i and vertex j are not
% connected in the mesh.
%
% type is either
% 'combinatorial': W(i... |
github | basson86/3D_IR_Thermal_Mapping-master | perform_analysis_regularization.m | .m | 3D_IR_Thermal_Mapping-master/ReconstructMe/toolbox_graph/toolbox/perform_analysis_regularization.m | 2,585 | utf_8 | c15e65a8b4b77823cd42e992ac708563 | function [g,g_list,E] = perform_analysis_regularization(f, G, options)
% perform_analysis_regularization - perform a sparse regularization
%
% [g,g_list,E] = perform_analysis_regularization(f, A, options);
%
% Method solves, given f of length n, for
% min_g E(g) = 1/2*|f-g|^2 + lambda * |A*g|_1
% where A is a... |
github | akar43/CategoryShapes-master | computeMeshesFromStates.m | .m | CategoryShapes-master/basisShapes/computeMeshesFromStates.m | 941 | utf_8 | b527eda3b47317c6cafc52b022b02db3 | function [] = computeMeshesFromStates(class,jobID)
%COMPUTEMESHES Summary of this function goes here
% Detailed explanation goes here
globals;
inferredShapesOptDir = jobDirs(class,jobID,'inferredShape');
meshDir = jobDirs(class,jobID,'mesh');
mkdirOptional(meshDir);
fnames = getFileNamesFromDirectory(inferredShapesO... |
github | akar43/CategoryShapes-master | fitKnownShapes.m | .m | CategoryShapes-master/basisShapes/fitKnownShapes.m | 5,792 | utf_8 | 25c8fcf218d0c754320eeddd40ff32f2 | function [] = fitKnownShapes(shapeModelOpt,statesDir,inferredShapesDir)
%% Setup optimization parameters
params = get_params();
relaxOpt = params.opt.relaxOpt;
lambda = params.opt.lambda;
maxiter = params.opt.testIters;
Sbar = shapeModelOpt.S;
V = shapeModelOpt.V;
N = shapeModelOpt.normals;
tri = shapeModelOpt.tri;
sh... |
github | akar43/CategoryShapes-master | getTestStateFiles.m | .m | CategoryShapes-master/basisShapes/getTestStateFiles.m | 5,332 | utf_8 | 18f60d94178e49f991558b9c01ed5113 | function [] = getTestStateFiles(model_3d,statesDir,relax,goodInds)
globals;
paramsLocal = params;
PASCAL_DIR_local = PASCAL_DIR;
cachedir_local = cachedir;
if(nargin<4)
goodInds = true(length(model_3d.c),1);
end
parfor instance = 1:length(model_3d.c)
state = struct;
if(~goodInds(instance))
continue... |
github | akar43/CategoryShapes-master | getStateFiles.m | .m | CategoryShapes-master/basisShapes/getStateFiles.m | 4,360 | utf_8 | 50b817f68a9b67922c9cbaabd65106f0 | function [] = getStateFiles(model_3d,statesDir,goodInds)
globals;
PASCAL_DIR = PASCAL_DIR;
if(nargin<3)
goodInds = true(length(model_3d.c),1);
end
params = get_params();
viewClusters = cluster_views(model_3d,find(goodInds(:)),params.vis.numRotClusters,0);
%pBar = TimedProgressBar( length(model_3d.c), 30, ...
% ... |
github | akar43/CategoryShapes-master | cluster_views.m | .m | CategoryShapes-master/basisShapes/visualHull/cluster_views.m | 1,497 | utf_8 | 492abd41837b4f959955cff74901bf7c | function rotClusters = cluster_views(model_3d,inds,nClusters,vis)
if(nargin<4)
vis=0;
end
rots = model_3d.rots(inds);
rots = cellfun(@(x)(x(:)'),rots,'UniformOutput',false);
rots = vertcat(rots{:});
T = clusterdata(rots,'distance',@riemannian_dist,'linkage','average','maxclust',nCluster... |
github | akar43/CategoryShapes-master | initializeShape.m | .m | CategoryShapes-master/basisShapes/optimization/initializeShape.m | 5,686 | utf_8 | a83f842f5ec702047d9f56e4d9cb7990 | function [shape,V,shapePriorMean,deformationPrior,shapePriorInstance,tris,fvN] = initializeShape(statesDir)
% assume that squared norm of each deformation of V = numpoints.
% norm(V(:,k))^2 = numpoints; for all k
%globals
numNeighbors = 10;
%% Initializing Shape - Visual Hull
params=get_params();
from = params.vis.v... |
github | akar43/CategoryShapes-master | wrapperEvalSIRFS.m | .m | CategoryShapes-master/evaluation/wrapperEvalSIRFS.m | 2,191 | utf_8 | 2630f3b221d2226c00145797c204ca98 | function dmapErrors = wrapperEvalSIRFS(classes)
globals
dmapErrors = cell(length(classes),1);
map = load(fullfile(cachedir,'test_sets.mat'));
map = map.map; map = map(~cellfun(@isempty,map));
map = cellfun(@(x)(strcat(x,'.mat')),map,'UniformOutput',false);
map = map(:);
for ii=1:length... |
github | akar43/CategoryShapes-master | dmapMetricCorr.m | .m | CategoryShapes-master/evaluation/dmapMetricCorr.m | 429 | utf_8 | 0161cc1ad5fb4e2d9227d9703364bc56 | % Depth correlation
function score =dmapMetricCorr(dmap1,gtdmap,mask)
dmap1(isinf(dmap1)) = nan;
gtdmap(isinf(gtdmap)) = nan;
mask = logical(mask);
x = dmap1(mask);
y = gtdmap(mask);
nanMask = ~isnan(y); % Keep points present in gt depth
x = x(nanMask); y = y(nanMask);
x(isnan(x... |
github | akar43/CategoryShapes-master | baselineSIRFS.m | .m | CategoryShapes-master/sirfsPrior/baselineSIRFS.m | 1,501 | utf_8 | 64e1c047cc3fcd0061d204b798b2c0a5 | function [] = baselineSIRFS(class,jobID)
%GETDEPTHIMAGE Summary of this function goes here
% Detailed explanation goes here
globals
statesDir = jobDirs(class,jobID,'state');
sirfsstatedir = fullfile(cachedir,class,sprintf('baselineSIRFS%s',jobID));
mkdirOptional(sirfsstatedir);
fnames = getFileNamesFromDirectory(dma... |
github | akar43/CategoryShapes-master | shapeSIRFS.m | .m | CategoryShapes-master/sirfsPrior/shapeSIRFS.m | 2,037 | utf_8 | b8ad466f5d5b3cbf4d0cfe51d544398a | function [] = shapeSIRFS(class,jobID)
%GETDEPTHIMAGE Summary of this function goes here
% Detailed explanation goes here
statesDir = jobDirs(class,jobID,'state');
sirfsstatedir = jobDirs(class,jobID,'sirfs');
dmapDir = jobDirs(class,jobID,'dmap');
mkdirOptional(sirfsstatedir);
fnames = getFileNamesFromDirectory(dmap... |
github | akar43/CategoryShapes-master | getGtDepthMap.m | .m | CategoryShapes-master/utils/getGtDepthMap.m | 1,424 | utf_8 | b17e0b52725f696dea67e7164dd877fa | function [] = getGtDepthMap(fnames,statesDir,annotationsDir,depthMapsDir,cadModels)
%GETGTDEPTHMAP Summary of this function goes here
% Detailed explanation goes here
parfor i=1:length(fnames)
warning off;
disp(i);
state=load(fullfile(statesDir,fnames{i}));
state=state.state;
dmap = zeros(size(st... |
github | akar43/CategoryShapes-master | augmentPascal3Ddata.m | .m | CategoryShapes-master/utils/augmentPascal3Ddata.m | 2,756 | utf_8 | e17c7b22d840529a86e1d9489f6f2163 | function [data3d] = augmentPascal3Ddata(data,class)
%AUGMENTPASCAL3DDATA Summary of this function goes here
% Detailed explanation goes here
N = length(data);
globals;
load(fullfile(datadir,'subtypeClusters'));
data3d = data;
cInd = pascalClassIndex(class);
notFound = 0;
for i=1:N
bbox = data(i).bbox;
if(dat... |
github | akar43/CategoryShapes-master | getDepthMapsFromMeshes.m | .m | CategoryShapes-master/utils/getDepthMapsFromMeshes.m | 1,171 | utf_8 | 46f101bbd468290cd4496d2b7476359d | function [] = getDepthMapsFromMeshes(class,jobID)
%GETDEPTHIMAGE Summary of this function goes here
% Detailed explanation goes here
globals
statesDir = jobDirs(class,jobID,'state');
meshDir = jobDirs(class,jobID,'mesh');
depthMapsDir = jobDirs(class,jobID,'dmap');
fnames = getFileNamesFromDirectory(meshDir,'types',{... |
github | akar43/CategoryShapes-master | runPuffBall.m | .m | CategoryShapes-master/utils/runPuffBall.m | 1,249 | utf_8 | d4518a9a839e3345e053c0ac90686ab9 | function runPuffBall(classes,tId)
globals
for i=1:length(classes)
puffBallDir = fullfile(cachedir,classes{i},'puffBallMeshesGt');
disp(puffBallDir);
mkdir(puffBallDir);
fnames = []; fnamesFull = [];
class = classes{i};
jobDirs = getJobDirs(classes{i},tId,'statesDi... |
github | akar43/CategoryShapes-master | read_pascal.m | .m | CategoryShapes-master/utils/read_pascal.m | 3,193 | utf_8 | 5e2bca3a850f4fd8e95b0db5c7a9ccef | function pos=read_pascal(cls,year,keypoints,segmentations)
% Read pascal to generate filtered instances of classes
globals;
dataset_fg = 'trainval';
conf.year=year;
conf.dev_kit=[BASE_DIR 'data/VOC2011/VOCdevkit'];
VOCopts = get_voc_opts(conf);
% Setup keypoints and segmentations voc_id
kps_voc_id = cellfun(@(x,y... |
github | akar43/CategoryShapes-master | minboundbox.m | .m | CategoryShapes-master/utils/minboundbox.m | 12,077 | utf_8 | ee9e7acca721a1b8239c61167c7419ef | function [rotmat,cornerpoints,volume,surface,edgelength] = minboundbox(x,y,z,metric,level)
% minboundbox: Compute the minimal bounding box of points in 3d
% usage: [rotmat,cornerpoints,volume,surface,edgelength] = minboundbox(x,y,z,metric,level)
%
% arguments: (input)
% x,y,z - vectors of points, describing points in ... |
github | akar43/CategoryShapes-master | read_ply.m | .m | CategoryShapes-master/utils/read_ply.m | 15,773 | utf_8 | b56b61e078c770167c29c2d717f48521 | function [vertex,face] = read_ply(filename)
% read_ply - read data from PLY file.
%
% [vertex,face] = read_ply(filename);
%
% 'vertex' is a 'nb.vert x 3' array specifying the position of the vertices.
% 'face' is a 'nb.face x 3' array specifying the connectivity of the mesh.
%
% IMPORTANT: works only for trian... |
github | akar43/CategoryShapes-master | points2normals.m | .m | CategoryShapes-master/utils/points2normals.m | 2,525 | utf_8 | ea6e5c8e539b4e52ee6ce3ae9e5b5e89 | function normals = points2normals(points,nbd)
% estimating a normal vector based on nearby 100 points
% points is 3 * n matrix for n points
if size(points,2)==3 && size(points,1)~=3
points = points';
end
normals = lsqnormest(points, nbd);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | akar43/CategoryShapes-master | state2meshIso.m | .m | CategoryShapes-master/utils/state2meshIso.m | 1,410 | utf_8 | 84ed96cfb9bdeb2abd66ee6205a2946c | function outMesh = state2meshIso(state)
% Use isosurface to construct mesh from point cloud
params = get_params();
from = params.vis.voxelsFrom;to = params.vis.voxelsTo;step = params.vis.voxelsSteps;
rangeXYZ = round((to-from)/step)+1;
[X,Y,Z] = ndgrid(from(1):step:to(1), from(2):step:to(2), from(3):ste... |
github | akar43/CategoryShapes-master | projectp3d.m | .m | CategoryShapes-master/utils/projectp3d.m | 1,647 | utf_8 | b73b4c7d79f16519ffc3f555f64a493b | % project the 3D points to generate 2D points according to the viewpoint
function xproj = projectp3d(x3d, object)
if isfield(object, 'viewpoint') == 1
% project the 3D points
viewpoint = object.viewpoint;
a = viewpoint.azimuth*pi/180;
e = viewpoint.elevation*pi/180;
d = viewpoint.distance;
f = ... |
github | akar43/CategoryShapes-master | postProcessMeshes.m | .m | CategoryShapes-master/utils/postProcessMeshes.m | 679 | utf_8 | 457e288a4c23e6338e8cd8e7642b6246 | function [] = postProcessMeshes(fnames,meshDir,meshDirFinal,smoothIter,flipZ)
%POSTPROCESSMESHES Summary of this function goes here
% Detailed explanation goes here
parfor i = 1:length(fnames)
meshFile = fullfile(meshDir,fnames{i});
meshFileSave = fullfile(meshDirFinal,fnames{i});
mesh = load(meshFi... |
github | akar43/CategoryShapes-master | averageRotationTransform.m | .m | CategoryShapes-master/utils/averageRotationTransform.m | 927 | utf_8 | ad06098fb5de5c41e9dab9604b6b431b | function [R] = averageRotationTransform(R1s,R2s)
%AVERAGEROTATION Summary of this function goes here
% takes from R1s to R2s
[R1s,R2s] = removeNanRots(R1s,R2s);
R = eye(3);
N = length(R1s);
maxDiff = pi/3;
for i=1:N
diffs{i} = R1s{i}'*R2s{i};
end
err = Inf;
iter = 0;
while(err > 1e-4 && iter < 50)
iter = it... |
github | akar43/CategoryShapes-master | puffball.m | .m | CategoryShapes-master/utils/puffball.m | 2,705 | utf_8 | 0a191a968a1f9911e80ae2417db3f7c1 | function [tri, coord] = puffball(mask)
%Weighted skeleton, where each non-zero value corresponds to the maximum
%size of a sphere that can be centered there.
wSkel = get_SkelRadius(mask);
heightFunction = puffbalIInflation(mask,wSkel);
[tri,coord] = mesh_from_height(mask, heightFunction);
end
function [tri, coo... |
github | akar43/CategoryShapes-master | meshToDepth.m | .m | CategoryShapes-master/utils/meshToDepth.m | 1,483 | utf_8 | f391d24bfacbf07393641f04f133d36b | function [depthIm] = meshToDepth(S,tri,imsize)
%MESHTODEPTH orthographic projections to get depth
% Detailed explanation goes here
%write_off('temp.off',S,tri);
%[depthIm] = off2im('temp.off');
%delete('temp.off');
%return;
depthIm = Inf(imsize);
visIndexTri = zeros(size(tri,1),1);
for i=1:size(tri,1)
%if(i==55... |
github | akar43/CategoryShapes-master | mstep_update_missingdata.m | .m | CategoryShapes-master/nrsfm/mstep_update_missingdata.m | 4,058 | utf_8 | ae7f25ec825dcda56c10468cf3da48b4 | function P_hat = mstep_update_missingdata(P, MD, S_bar, V, E_z, RO, c, Tr, mask, imsize, bbox, normdim,occlusion)
% P_hat = mstep_update_missingdata(P, MD, S_bar, V, E_z, RO, Tr)
% Fills in missing data using Eq 25
%% lambda is fraction with with missing points move towards silhouette
params = get_params();
lambda = ... |
github | akar43/CategoryShapes-master | findG.m | .m | CategoryShapes-master/nrsfm/findG.m | 1,197 | utf_8 | 39dd4e65cb175db8dccf5296d42e8624 | function G = findG(Rhat)
[F,D] = size(Rhat); F = F/2;
% Build matrix Q such that Q * v = [1,...,1,0,...,0] where v is a six
% element vector containg all six distinct elements of the Matrix C
%clear Q
for f = 1:F,
g = f + F;
h = g + F;
Q(f,:) = zt2(Rhat(f,:), Rhat(f,:));
Q(g,:) = zt2(Rhat(g,:), Rhat(g,:));
... |
github | akar43/CategoryShapes-master | visualizeDEM.m | .m | CategoryShapes-master/external/SIRFS/visualizeDEM.m | 2,246 | UNKNOWN | 04953ad8289b90c0ee4587128d9eb6d3 | % Copyright �2013. The Regents of the University of California (Regents).
% All Rights Reserved. Permission to use, copy, modify, and distribute
% this software and its documentation for educational, research, and
% not-for-profit purposes, without fee and without a signed licensing
% agreement, is hereby granted, prov... |
github | akar43/CategoryShapes-master | SIRFS.m | .m | CategoryShapes-master/external/SIRFS/SIRFS.m | 4,728 | UNKNOWN | 6d031d1f9f05afee64ea4cb2a3813e38 | % Copyright �2013. The Regents of the University of California (Regents).
% All Rights Reserved. Permission to use, copy, modify, and distribute
% this software and its documentation for educational, research, and
% not-for-profit purposes, without fee and without a signed licensing
% agreement, is hereby granted, prov... |
github | akar43/CategoryShapes-master | WolfeLineSearch.m | .m | CategoryShapes-master/external/SIRFS/minFunc_2012/WolfeLineSearch.m | 11,327 | utf_8 | 66f4aeec6de03856f49e25fece755d53 | function [t,f_new,g_new,funEvals,H] = WolfeLineSearch(...
x,t,d,f,g,gtd,c1,c2,LS_interp,LS_multi,maxLS,progTol,debug,doPlot,saveHessianComp,numDiff,funObj,options,varargin)
%
% Bracketing Line Search to Satisfy Wolfe Conditions
%
% Inputs:
% x: starting location
% t: initial step size
% d: descent direction
%... |
github | akar43/CategoryShapes-master | minFunc_processInputOptions.m | .m | CategoryShapes-master/external/SIRFS/minFunc_2012/minFunc_processInputOptions.m | 4,086 | utf_8 | 43b37f918849f042bad8ae63ef1d7922 |
function [verbose,verboseI,debug,doPlot,maxFunEvals,maxIter,optTol,progTol,method,...
corrections,c1,c2,LS_init,cgSolve,qnUpdate,cgUpdate,initialHessType,...
HessianModify,Fref,useComplex,numDiff,LS_saveHessianComp,...
Damped,HvFunc,bbType,cycle,...
HessianIter,outputFcn,useMex,useNegCurv,precFunc,...
... |
github | akar43/CategoryShapes-master | makeMontage.m | .m | CategoryShapes-master/visualize/makeMontage.m | 1,604 | utf_8 | b71acc6f31ee100af674940c11996c06 | function [Im, ImAll] = makeMontage(Is, W, H, sc)
% Given a set of images in Is, sort them by the aspect ratio, and then
% ppaste them into a series of images...
for i = 1:length(Is),
h(i) = size(Is{i},1);
w(i) = size(Is{i},2);
Is{i} = imresize(Is{i}, sc);
end
asp = h./w;
[~, ind] = sort(h, 'ascend'... |
github | akar43/CategoryShapes-master | vis_PSIRFS.m | .m | CategoryShapes-master/visualize/vis_PSIRFS.m | 1,037 | utf_8 | dd8fb8db8fe117a885236ab9ff5f8521 | function vis_PSIRFS(state,pad)
if(nargin<2)
pad = 25;
end
mask3 = ~repmat(state.mask,[1,1,3]);
bbox = mask2bbox(state.mask);
Iv = state.im;
Iv(mask3) = 0;
Zv = state.height;
Zv(~state.mask) = NaN;
Zbak = Zv;
Zv = visualizeDEM(Zv);
Zv(mask3) = 0;
Nv = visualizeNormals_color(state.normal);
Nv(mask3) = 0;
Rv = stat... |
github | akar43/CategoryShapes-master | distinguishable_colors.m | .m | CategoryShapes-master/visualize/distinguishable_colors.m | 5,753 | utf_8 | 57960cf5d13cead2f1e291d1288bccb2 | function colors = distinguishable_colors(n_colors,bg,func)
% DISTINGUISHABLE_COLORS: pick colors that are maximally perceptually distinct
%
% When plotting a set of lines, you may want to distinguish them by color.
% By default, Matlab chooses a small set of colors and cycles among them,
% and so if you have more than ... |
github | Sable/matjuice-master | dirich.m | .m | matjuice-master/new-benchmarks/dich/dirich.m | 2,202 | utf_8 | bf32ade6b8d0f34bd65bd5fac092e9f1 |
function U=dirich(f1, f2, f3, f4, a, b, h, tol, max1)
%-----------------------------------------------------------------------
%
% This function M-file finds the Dirichlet solution to
% Laplace's equation
%
% u (x, y)+u (x, y)=0,
% xx yy
%
% with the boundary conditions
%
% u(x, 0)=f1, u(x, b)=f2 for all 0 ... |
github | Sable/matjuice-master | closure.m | .m | matjuice-master/new-benchmarks/clos/closure.m | 1,160 | utf_8 | e4f97139f3281a2b9a79bbc3c5da7708 |
function B1=closure(N)
%-----------------------------------------------------------------------
%
% This function M-file computes the transitive closure of a
% directed graph. An adjacency matrix representation of the
% directed graph is used, which is initialized arbitrarily.
%
% Invocation:
% >> [t2, B]=closure(N)
... |
github | Sable/matjuice-master | nbody1d.m | .m | matjuice-master/new-benchmarks/nb1d/nbody1d.m | 2,506 | utf_8 | 30a85ed17966fa863efbc91ec19a1840 |
function [Fx, Fy, Fz, Vx, Vy, Vz]=nbody1d(n, Rx, Ry, Rz, m, dT, T)
%-----------------------------------------------------------------------
%
% This function M-file simulates the gravitational movement
% of a set of objects.
%
% Invocation:
% >> [Fx, Fy, Fz, Vx, Vy, Vz]=...
% nbody1d(n, Rx, Ry, Rz, m, dT, T)
%
% ... |
github | Sable/matjuice-master | gauss.m | .m | matjuice-master/new-benchmarks/capr/gauss.m | 829 | utf_8 | f667cddea4d15323caf05c4c52795b6b |
function cap=gauss(n, m, h, f)
%-----------------------------------------------------------------------
%
% This function M-file computes capacitance from the
% potential.
%
% Invocation:
% >> cap=gauss(n, m, h, f)
%
% where
%
% i. n is the number of points along the x-axis,
%
% i. m is the number of points along ... |
github | Sable/matjuice-master | capacitor.m | .m | matjuice-master/new-benchmarks/capr/capacitor.m | 1,420 | utf_8 | ff5bd4dd8d7a6cbbd6f10411983f6442 |
function cap=capacitor(a, b, c, d, n, tol, rel)
%-----------------------------------------------------------------------
%
% This function M-file computes the capacitance
% per unit length of a coaxial pair of rectangles.
%
% Invocation:
% >> cap=capacitor(a, b, c, d, n, tol, rel)
%
% where
%
% i. a is the width of... |
github | Sable/matjuice-master | seidel.m | .m | matjuice-master/new-benchmarks/capr/seidel.m | 1,352 | utf_8 | e5ea0e9d952998657a18ca064d5bd9e4 |
function f=seidel(f, mask, n, m, na, mb)
%-----------------------------------------------------------------------
%
% This function M-file makes one Seidel iteration.
%
% Invocation:
% >> g=seidel(f, mask, n, m, na, mb)
%
% where
%
% i. f is the potential array,
%
% i. mask is the mask array,
%
% i. n is the numb... |
github | Sable/matjuice-master | linspace.m | .m | matjuice-master/new-benchmarks/capr/linspace.m | 478 | utf_8 | 854dae2aac100b36615cc815e360fd34 |
function y=linspace(d1, d2, n)
%-----------------------------------------------------------------------
%LINSPACE Linearly spaced vector.
% LINSPACE(x1, x2) generates a row vector of n linearly
% equally spaced points between x1 and x2.
%
% See also LOGSPACE, :.
%
% Copyright 1984-2001 The MathWorks, Inc.
% ... |
github | Sable/matjuice-master | fdtd.m | .m | matjuice-master/new-benchmarks/fdtd/fdtd.m | 3,052 | utf_8 | dde0342cc0f771df30faf4225a0f005a |
function [Ex, Ey, Ez, Hx, Hy, Hz, Ets]=fdtd(Lx, Ly, Lz, ...
Nx, Ny, Nz, nrm, Nt)
%-----------------------------------------------------------------------
%
% This function M-file applies the Finite Difference
% Time Domain (FDTD) technique on a hexahedral cavity
% with conducting walls. FDTD is a powerful tool f... |
github | Sable/matjuice-master | tridiagonal.m | .m | matjuice-master/new-benchmarks/crni/tridiagonal.m | 1,272 | utf_8 | cd6464a7c44596479586efde648417a2 |
function X=tridiagonal(A, D, C, B, n)
%-----------------------------------------------------------------------
%
% This function M-file finds the solution of a tridiagonal
% linear system. It is assumed that D and B have dimension
% n, and that A and C have dimension n-1.
%
% Invocation:
% >> X=tridiagonal(A, D, C, B... |
github | Sable/matjuice-master | crnich.m | .m | matjuice-master/new-benchmarks/crni/crnich.m | 2,489 | utf_8 | f2c2d716272dbc0480acb2cf3f0a869e |
function U=crnich(a, b, c, n, m)
%-----------------------------------------------------------------------
%
% This function M-file finds the Crank-Nicholson solution
% to the one-dimensional heat equation
%
% 2
% u (x, t)=c u (x, t).
% t xx
%
% The function u(x, t) denotes the temperature in a
% one... |
github | Sable/matjuice-master | finediff.m | .m | matjuice-master/new-benchmarks/fiff/finediff.m | 1,813 | utf_8 | 7a608d96b8c621f35df9e06ddf94e3e5 |
function U=finediff(a, b, c, n, m)
%-----------------------------------------------------------------------
%
% This function M-file finds the finite-difference solution
% to the wave equation
%
% 2
% u (x, t)=c u (x, t),
% tt xx
%
% with the boundary conditions
%
% u(0, t)=0, u(a, t)=0 for all 0 <... |
github | Sable/matjuice-master | diffraction.m | .m | matjuice-master/benchmarks/diff/diffraction.m | 2,751 | utf_8 | 3aad76db8e1d463a3a2747c463c9a071 |
function mag=diffraction(CELLS, SLITSIZE1, SLITSIZE2, T1, T2)
%-----------------------------------------------------------------------
%
% This function M-file calculates the diffraction pattern of
% monochromatic light through a transmission grating for
% arbitrary slit sizes and slit transmission coefficients.
%
% T... |
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