GitHub - huchuanlu/15_4

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
img		img
LBP_uniform.m		LBP_uniform.m
ReadDAT.m		ReadDAT.m
Readme.txt		Readme.txt
Runme_forBLsaliencymap.m		Runme_forBLsaliencymap.m
SLICSuperpixelSegmentation.exe		SLICSuperpixelSegmentation.exe
boost_mkl3.m		boost_mkl3.m
boxfilter.m		boxfilter.m
colorspace.m		colorspace.m
cutframe.m		cutframe.m
distribution.m		distribution.m
distribution_prob.m		distribution_prob.m
edges4connected.m		edges4connected.m
graphcut0.m		graphcut0.m
guidedfilter.m		guidedfilter.m
histDist.m		histDist.m
kernel_param.m		kernel_param.m
maxflow.m		maxflow.m
maxflowmex.mexw32		maxflowmex.mexw32
mkltest_new3.m		mkltest_new3.m
normalize.m		normalize.m
saveimg.m		saveimg.m
svmpredict.mexw32		svmpredict.mexw32
svmtrain.mexw32		svmtrain.mexw32

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This MATLAB code is for the salient object detection method published in the following paper:
Na Tong, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang, Salient object detection via bootstrap learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015).

The main function is Runme_forBLsaliencymap.m.

This is the first version of code. We appreciate any comments/suggestions. For more quetions, please contact us.
	
Na Tong, Huchuan Lu, Xiang Ruan, and Ming-Hsuan Yang 
April 2015