Deep Stereo Network With Cross-Correlation Volume Construction and Least Square Aggregation

Deep Stereo Network With Cross-Correlation Volume Construction and Least Square Aggregation

Stereo matching is of great importance in robot operation, autonomous driving and virtual reality. Large textureless regions and depth discontinuity regions are still the error-prone regions of stereo matching tasks. Traditional correlation-based volumes only measure the feature similarity within th...

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Bibliographic Details
Main Authors: Guowei An, Yaonan Wang, Yang Mo, Kai Zeng, Qing Zhu, Xiaofang Yuan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Stereo matching
volume construction
neural network
aggregation
stereo vision
Online Access:https://ieeexplore.ieee.org/document/10870210/
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https://ieeexplore.ieee.org/document/10870210/

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