Continuous 3D Label Stereo Matching using Local Expansion Moves
作者提出了基於graph cuts的local expansion moves，來進行精確的立體匹配。 目標：在結合了slanted patch matching和curvatureregularization的分段MRF（解決fronto—parallel bias）上推斷每一個像素點的3D平面標籤。 Localexpansion moves拓展了傳統的expansionmoves，包括兩個方式
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相關文章
- 1. local expansion
- 2. Pyramid Stereo Matching Network
- 3. 【論文筆記-Stereo】Pyramid Stereo Matching Network
- 4. ValueError: Unknown label type: 'continuous'
- 5. Unsupervised Learning of Stereo Matching
- 6. 論文《Patchmatch-Based Robust Stereo Matching Patchmatch-Based Robust Stereo Matching》學習
- 7. 閱讀筆記----Make the right moveGuiding Alpha-Expansion using local primal-dual gaps
- 8. 論文閱讀筆記《Stereo Matching Using Conditional Adversarial Networks》
- 9. 論文筆記_Object Stereo — Joint Stereo Matching and Object Segmentation
- 10. Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching(CVPR 2020)