Improved stereo matching network based on dense multi-scale feature guided cost aggregation

Improved stereo matching network based on dense multi-scale feature guided cost aggregation

To further improve the disparity prediction accuracy of stereo matching algorithm in the ill-posed regions such as repeating textures, no texture, and edge, an improved dense multi-scale feature guided aggregation network (DGNet) based on PSMNet was proposed. Firstly, a dense multi-scale feature ext...

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Bibliographic Details
Main Authors: ZHANG Bo, ZHANG Meiling, LI Xue, ZHU Lei
Format: Article
Language:zho
Published: Editorial Office of Journal of XPU 2024-02-01
Series:Xi'an Gongcheng Daxue xuebao
Subjects:
binocular vision
stereo matching
dense multi-scale features
adaptive fusion
Online Access:http://journal.xpu.edu.cn/en/#/digest?ArticleID=1442
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