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A learned sparseness and IGMRF-based regularization framework for dense disparity estimation using unsupervised feature learning

Q1 Computer Science
IPSJ Transactions on Computer Vision and Applications Pub Date : 2017-12-01 DOI:10.1186/s41074-016-0013-0
S. Nahar, M. Joshi
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一种基于学习稀疏性和IGMRF的正则化框架，用于使用无监督特征学习的密集视差估计
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IPSJ Transactions on Computer Vision and Applications
IPSJ Transactions on Computer Vision and Applications Computer Science-Computer Vision and Pattern Recognition
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