HCVNet: Binocular Stereo Matching via Hybrid Cost Volume Computation Module With Attention

HCVNet: Binocular Stereo Matching via Hybrid Cost Volume Computation Module With Attention

Binocular stereo matching, a computer vision task typically using cost volume constructed from the left and right feature maps to estimate disparity and depth, is widely applied in 3D reconstruction, autonomous driving and robotics navigation. Though recent study brings an awareness of the convoluti...

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Bibliographic Details
Main Authors: Chenglin Dai, Qingling Chang, Tian Qiu, Xinglin Liu, Yan Cui
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Binocular stereo matching
feature map
channel-wise independencies
channel attention
cost volume
Online Access:https://ieeexplore.ieee.org/document/9870784/

Internet

https://ieeexplore.ieee.org/document/9870784/

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