parseperson.m

基于matlab写的对人体的分割程序

addpath('util');
%Load the trained model
load peopleModel;

%iterModel is a data structure that encodes the part models and part
%structures
iterModelStart = iterModel;

%Load image
im = imread('im0229.jpg');
subplot(221);
imagesc(im);

%Get edge map
[m,t] = mydetGMc(im,2); m = double(imdilate(m > iterModel.edgeThresh,ones(3)));

%Do first parse
display('First edge-based parse...');
res1 = expected_genmodel_FHedgesN(m,iterModelStart);
%Show it
subplot(222); imagesc(uint8(res1.a*2e3)); drawnow;
       
%Build region model
[fgP imHist] = buildHistExps(im,condenseLRResp(res1.b,iterModel.colmask));

%Run the region-based body model (one iteration)
display('Second parse using region features from first parse...');
iterModel.fgP = fgP > .5;
res2 = expected_genmodel_FHedgecolsW(im,iterModel);
subplot(223); imagesc(uint8(res2.a*2e3)); drawnow;

%Show the best-scoring pose from the model
display('Getting best pose...');
segs = sample_genmodel_FHedgecolsW(im,iterModel);
subplot(224); printSegs(im,segs{1});