Asymmetric cost aggregation network for efficient stereo matching

Asymmetric cost aggregation network for efficient stereo matching

Abstract Cost aggregation is crucial to the accuracy of stereo matching. A reasonable cost aggregation algorithm should aggregate costs within homogeneous regions where pixels have the same or similar disparities. Otherwise, the estimated disparity map is prone to the well‐known edge‐fattening issue...

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Bibliographic Details
Main Authors: Zhong Wu, Hong Zhu, Lili He, Dong Wang, Jing Shi, Wenhuan Wu
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:IET Image Processing
Subjects:
computer vision
convolutional neural nets
image matching
stereo image processing
Online Access:https://doi.org/10.1049/ipr2.12807

Internet

https://doi.org/10.1049/ipr2.12807

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