Research map / Video / Video segmentation and tracking
Direct Photometric Alignment by Mesh Deformation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use dense sampled-point photometric alignment with mesh deformation instead of sparse feature-based APAP alignment | MPA · Image pairs 01–18 | RMSE | Helped |
| Use dense sampled-point photometric alignment with mesh deformation instead of feature-based curve-preserving warp | MPA · Image pairs 01–18 | RMSE | Mixed |
| Use mesh-based photometric alignment rather than ASAP or MeshFlow motion estimation | MPA · Video frames | alignment error | Helped |
| Use MPA alignment before bundled path or pixel-profile stabilization | Video stabilization · Low-textured videos | stabilization quality | Helped |
Closest papers by meaning
- Video Stitching from Multiple Moving Cameras (NeurIPS 2026 · similarity 0.87)
- Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction (CVPR 2019 · similarity 0.87)
- Object-level Geometric Structure Preserving for Natural Image Stitching (AAAI 2025 · similarity 0.85)
- Depth-Supervised Fusion Network for Seamless-Free Image Stitching (NeurIPS 2025 · similarity 0.84)
- Non-Rigid Structure-from-Motion: Temporally-Smooth Procrustean Alignment and Spatially-Variant Deformation Modeling (CVPR 2024 · similarity 0.82)
- VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment (NeurIPS 2025 · similarity 0.81)
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