Jilong Bian1,*, Jinfeng Li2
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 175-189, 2021, DOI:10.32604/cmes.2021.014635
Abstract The stereo matching method based on a space-aware network is proposed, which divides the network into three sections: Basic layer, scale layer, and decision layer. This division is beneficial to integrate residue network and dense network into the space-aware network model. The vertical splitting method for computing matching cost by using the space-aware network is proposed for solving the limitation of GPU RAM. Moreover, a hybrid loss is brought forward to boost the performance of the proposed deep network. In the proposed stereo matching method, the space-aware network is used to calculate the matching cost and then cross-based cost aggregation… More >
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