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

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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Bibliographic Details
Main Authors: Yilong Han, Wei Liu, Xu Huang, Shugen Wang, Rongjun Qin
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
dense image matching (DIM)
convolutional neural network (CNN)
matching window fusion
matching cost fusion
indoor image
aerial image
Online Access:https://www.mdpi.com/2072-4292/12/19/3138

Internet

https://www.mdpi.com/2072-4292/12/19/3138

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