A novel cell structure‐based disparity estimation for unsupervised stereo matching-Reference-Cited by-同舟云学术

A novel cell structure‐based disparity estimation for unsupervised stereo matching

Author:

Cheng Xianjing¹²^ORCID,Zhao Yong³^ORCID,Yang Wenbang¹⁴^ORCID,Hu Zhijun¹^ORCID,Yu Xiaomin¹⁵^ORCID,Zhao Haoliang¹^ORCID,Zeng Pengcheng³^ORCID

Affiliation:

1. School of Computer Science and Technology Guizhou University Huaxi Guiyang China

2. Qianbei Information Technology Research Institute Zunyi Normal University Zunyi China

3. Peking University School of Electronic and Computer Engineering Shenzhen China

4. School of Mathematical Sciences Xingyi Normal University for Nationalities Xingyi China

5. GuiZhou University of Finance and Economics Guiyang China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

Reference48 articles.

1. A taxonomy and evaluation of dense two‐frame stereo correspondence algorithms;Daniel S.;Int. J. Comput. Vision,2002

2. Stereo matching by training a convolutional neural network to compare image patches;Jure Z.;J. Mach. Learn. Res.,2016

4. Fusion moves for markov random field optimization;Victor L.;IEEE Trans. Pattern Anal. Mach. Intell.,2009

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