% * 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. % * % */ function [mask,SupIndex,PixelMask,PatchMask]=... makeSubSupMask(gridinfo,sup_hi,sup,maskindex,width,hight); global GeneralDataFolder ScratchDataFolder LocalFolder ClusterExecutionDirectory... ImgFolder VertYNuPatch VertYNuDepth HoriXNuPatch HoriXNuDepth a_default b_default Ox_default Oy_default... Horizon_default filename; % calculating the parameter of patch % [horizontal size of the patch in pixel size, vertical sieze of patch in pixel size] ratioh(1:2) = gridinfo(:,1)./gridinfo(:,end); % [horizontal size of the step of point in pixel size, vertical sieze of step of point in pixel size] ratioh(3:4) = gridinfo(:,1)./gridinfo(:,2); % [horizontal size of the step of mask in pixel size, vertical sieze of step of mask in pixel size] MaskStep = ceil(gridinfo(:,2)./gridinfo(:,end)); % initialize the mask mask = zeros(gridinfo(2,1),gridinfo(1,1)); SupIndex = []; PixelMask = logical(zeros(gridinfo(2,1),gridinfo(1,1))); PatchMask = logical(zeros(gridinfo(2,2),gridinfo(1,2))); for j=(maskindex(1)-MaskStep(1)):MaskStep(1):(gridinfo(1,2)+MaskStep(1)) % j increase in horizontal direction for i=(maskindex(2)-MaskStep(2)):MaskStep(2):(gridinfo(2,2)+MaskStep(2)) % i increase in vertical direction centerY = ceil(ratioh(4)/2*(2*i-1)); centerX = ceil(ratioh(3)/2*(2*j-1)); indicesY = min(max(centerY-hight(2),1),gridinfo(2,1)):max(min(centerY+hight(1),gridinfo(2,1)),1); indicesX = min(max(centerX-width(2),1),gridinfo(1,1)):max(min(centerX+width(1),gridinfo(1,1)),1); patch_sup = sup_hi( indicesY, indicesX); % decide the center subsuperpixel (only do this in the smallest size of patch) if (j>=1&j<=gridinfo(1,2)&i>=1&i<=gridinfo(2,2)) SupTemp = analysesupinpatch(patch_sup,sup(i,j)); PixelMask(centerY,centerX) = true; PatchMask(i,j) = true; SupIndex = [SupIndex; SupTemp]; else SupTemp = analysesupinpatch(patch_sup); end mask(indicesY, indicesX) = patch_sup == SupTemp; %SupIndex = [SupIndex; SupTemp]; end end