source: proiecte/pmake3d/make3d_original/Make3dSingleImageStanford_version0.1/LearningCode/Inference/LoopTestBedSize.m @ 37

% *  This code was used in the following articles:
% *  [1] Learning 3-D Scene Structure from a Single Still Image, 
% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng, 
% *      In ICCV workshop on 3D Representation for Recognition (3dRR-07), 2007.
% *      (best paper)
% *  [2] 3-D Reconstruction from Sparse Views using Monocular Vision, 
% *      Ashutosh Saxena, Min Sun, Andrew Y. Ng, 
% *      In ICCV workshop on Virtual Representations and Modeling 
% *      of Large-scale environments (VRML), 2007. 
% *  [3] 3-D Depth Reconstruction from a Single Still Image, 
% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. 
% *      International Journal of Computer Vision (IJCV), Aug 2007. 
% *  [6] Learning Depth from Single Monocular Images, 
% *      Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. 
% *      In Neural Information Processing Systems (NIPS) 18, 2005.
% *
% *  These articles are available at:
% *  http://make3d.stanford.edu/publications
% * 
% *  We request that you cite the papers [1], [3] and [6] in any of
% *  your reports that uses this code. 
% *  Further, if you use the code in image3dstiching/ (multiple image version),
% *  then please cite [2].
% *  
% *  If you use the code in third_party/, then PLEASE CITE and follow the
% *  LICENSE OF THE CORRESPONDING THIRD PARTY CODE.
% *
% *  Finally, this code is for non-commercial use only.  For further 
% *  information and to obtain a copy of the license, see 
% *
% *  http://make3d.stanford.edu/publications/code
% *
% *  Also, the software distributed under the License is distributed on an 
% * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either 
% *  express or implied.   See the License for the specific language governing 
% *  permissions and limitations under the License.
% *
% */
%ff =dir('C:\Documents and Settings\Ash\My Documents\Reconstruction3d\DataTemp\*.mat')
 T = [];
ff = [ [100 10];
       [ 1000 150];
       [ 2000 150];
       [ 1000 300];
       [ 1000 500]];
for i = 1:size(ff)
%   strrep(ff(i).name,'.mat','')
%    T = [ T test_Ash_L1_Minimizer_min(strrep(ff(i).name,'.mat','') )];
   T = [ T test_L1_minimizer_withoutconstraints_rand('', ff(i,1), ff(i,2) )];
end

figure; plot(T(1,:),'.-');
hold on; plot(T(2,:),'rx--');
hold on; plot(T(3,:),'gx--');
axis([1 10 0 50]);
title('runtime of sigmoidal vs Log Barrier vs Yalmip+SeDuMi');
legend('Sigmoidal','Log Barrier','Yalmip+SeDuMi');