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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial Office of Journal of XPU
2024-02-01
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| シリーズ: | Xi'an Gongcheng Daxue xuebao |
| 主題: | |
| オンライン･アクセス: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1442 |
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