the 2020 Guangdong International Cooperation Project(No.2019A050510007).
The advent of convolutional neural networks has led to remarkable progress in dense stereo labeling problem,achieving superior performance over the traditional methods.However,the ill-posed nature of stereo matching m...
supported by the National key foundation for exploring scientific instrument(2013YQ140517);the National Natural Science Foundation of China(Grant No.61522111);the Shenzhen Peacock Plan(KQTD20140630115140843).
Typical stereo algorithms treat disparity estimation and view synthesis as two sequential procedures.In this paper,we consider stereo matching and view synthesis as two complementary components,and present a novel ite...
Stereo matching is a fundamental and crucial problem in computer vision. In the last decades, many researchers have been working on it and made great progress. Generally stereo algorithms can be classified into local ...
MKE(the Ministry of Knowledge Economy),Korea,under the ITRC(Infor mation Technology Research Center)support program supervised by the NIPA(National IT Industry Promotion Agency)(NIPA-2011-C1090-1121-0010); the Brain Korea 21 Project in 2010
A new improvement is proposed for stereo matching which gives a solution to disparity map in terms of edge energy.We decompose the stereo matching into three parts:sparse disparity estimation for image-pairs,edge ener...