Stereo Dense Image Matching by Adaptive Fusion of Multiple-Window Matching Results

Traditional stereo dense image matching (DIM) methods normally predefine a fixed window to compute matching cost, while their performances are limited by the matching window sizes. A large matching window usually achieves robust matching results in weak-textured regions, while it may cause over-smoo...

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Bibliografiske detaljer

Principais autores:	Yilong Han, Wei Liu, Xu Huang, Shugen Wang, Rongjun Qin
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2020-09-01
Serier:	Remote Sensing
Fag:	dense image matching (DIM) convolutional neural network (CNN) matching window fusion matching cost fusion indoor image aerial image
Online adgang:	https://www.mdpi.com/2072-4292/12/19/3138
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