論文筆記_Extracting 3D Scene-consistent Object Proposals and Depth from Stereo Images
Extracting 3D Scene-consistent Object Proposals and Depth from Stereo Images 從立體圖像中提取3D場景一致的對象提議和深度 Michael Bleyer1, Christoph Rhemann1;2, and Carsten Rother2 1 Vienna University of Technology, Vienna
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相關文章
- 1. [論文解讀] 3DOP: 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
- 2. 論文筆記_Object Stereo — Joint Stereo Matching and Object Segmentation
- 3. 論文筆記_2010-BMVC-Joint optimization for object class segmentation and dense stereo reconstruction
- 4. Sliding Shapes for 3D Object Detection in Depth Images
- 5. Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
- 6. 論文筆記_Estimating Depth from RGB and Sparse Sensing
- 7. 論文筆記：Learning Denoising from Single Noisy Images
- 8. 《MaskTrack：Learning Video Object Segmentation from Static Images》論文筆記
- 9. 《Learning to Estimate 3D Hand Pose from Single RGB Images》 論文筆記
- 10. 論文閱讀速記：PointRCNN：3D Object Proposal Generation and Detection from Point Cloud