% * 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 [OccluList BoundaryLaserOccluHori BoundaryLaserOccluVert]=LaserOccluLabel(k,nList); global GeneralDataFolder ScratchDataFolder LocalFolder ClusterExecutionDirectory... ImgFolder VertYNuPatch VertYNuDepth HoriXNuPatch HoriXNuDepth a_default b_default Ox_default Oy_default... Horizon_default filename batchSize NuRow_default SegVertYSize SegHoriXSize WeiBatchSize PopUpVertY PopUpHoriX taskName; BpWidthV = ceil(0.01*VertYNuDepth); BpWidthH = ceil(0.05*HoriXNuDepth); SE = strel('rectangle',[BpWidthV BpWidthH]); ThreVert = 0.5; ThreHori = 0.5; ThreFar = 15; % load data depthfile = strrep(filename{k},'img','depth_sph_corr'); % the depth filename load([ScratchDataFolder '/Gridlaserdata/' depthfile '.mat']); LaserDepth = Position3DGrid(:,:,4); load([ScratchDataFolder '/data/CleanSup/CleanSup' num2str(k) '.mat']); Sup = double(Sup); MaxSup = max( Sup(:)); MaskSky = Sup ==0; BoundaryPVert = conv2(Sup,[1 MaxSup],'valid').*( conv2(Sup,[1 -1],'valid') >0)... .* ~MaskSky(:,1:(end-1)) .* ~MaskSky(:,2:end); % two step build up hash index 1) Left > Righ index BoundaryPVert = BoundaryPVert + conv2(Sup,[MaxSup 1],'valid').* (conv2(Sup,[-1 1],'valid') >0)... .* ~MaskSky(:,1:(end-1)) .* ~MaskSky(:,2:end); % 2) Left < Righ index BoundaryPHori = conv2(Sup,[1; MaxSup],'valid').* (conv2(Sup,[1; -1],'valid') >0)... .* ~MaskSky(1:(end-1),:) .* ~MaskSky(2:end,:); % two step build up hash index 1) Top > bottom index BoundaryPHori = BoundaryPHori + conv2(Sup,[MaxSup; 1],'valid').*( conv2(Sup,[-1; 1],'valid') >0)... .* ~MaskSky(1:(end-1),:) .* ~MaskSky(2:end,:); % 2) Top < Bottom index % detect occlusion in both vertical and horizontal direction DiffDepthVert = abs(conv2(LaserDepth,[1; -1],'valid')); DiffDepthHori = abs(conv2(LaserDepth,[1 -1],'valid')); FraDiffDepthVert = DiffDepthVert./ sqrt(LaserDepth(1:(end-1),:) .* LaserDepth(2:end,:) ); %FraDiffDepthVert = DiffDepthVert./ min(LaserDepth(1:(end-1),:) , LaserDepth(2:end,:) ); OccFraDiffDepthVert = FraDiffDepthVert > ThreVert; OccFraDiffDepthVert(LaserDepth(1:(end-1),:) > ThreFar & LaserDepth(2:end,:) > ThreFar) = 0; FraDiffDepthHori = DiffDepthHori./ sqrt( LaserDepth(:,1:(end-1)) .* LaserDepth(:,2:end) ); %FraDiffDepthHori = DiffDepthHori./ min( LaserDepth(:,1:(end-1)) , LaserDepth(:,2:end) ); OccFraDiffDepthHori = FraDiffDepthHori > ThreHori; OccFraDiffDepthHori(LaserDepth(:,1:(end-1)) > ThreFar & LaserDepth(:,2:end) > ThreFar) = 0; BoundaryLaserOccluHori = (imdilate(OccFraDiffDepthVert, SE).*(BoundaryPHori ~= 0)); BoundaryLaserOccluVert = (imdilate(OccFraDiffDepthHori, SE).*(BoundaryPVert ~= 0)); OccluMap = zeros(size(LaserDepth)); OccluMap(:,1:(end-1)) = imdilate(OccFraDiffDepthHori, SE); OccluMap(1:(end-1),:) = imdilate(OccFraDiffDepthVert, SE); %figure(200);subplot(1,2,1); %figure; %disp('plot'); %Img = imresize(imread([GeneralDataFolder '/' ImgFolder '/' filename{k} ],'jpg'), [SegVertYSize SegHoriXSize]); %Img(:,:,1) = 255*imresize(OccluMap, [ SegVertYSize, SegHoriXSize]); %image(Img); OccluHash = setdiff(unique([BoundaryPHori(BoundaryLaserOccluHori ~= 0); BoundaryPVert(BoundaryLaserOccluVert ~= 0)]),0); List = nList(:,1)*MaxSup + nList(:,2); OccluList = false*ones(size(List)); if isempty(OccluHash) return; end mask = sum(repmat(List,[1 size(OccluHash,1)]) == repmat(OccluHash',[size(List,1) 1]),2) > 0; OccluList(mask) = true; return;