Summary of Non-rigid Structure-from-motion: Temporally-smooth Procrustean Alignment and Spatially-variant Deformation Modeling, by Jiawei Shi et al.
Non-rigid Structure-from-Motion: Temporally-smooth Procrustean Alignment and Spatially-variant Deformation Modeling
by Jiawei Shi, Hui Deng, Yuchao Dai
First submitted to arxiv on: 7 May 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed method addresses two key challenges in Non-Rigid Structure-from-Motion (NRSfM): motion/rotation ambiguity and over-penalization of drastic deformations. A novel Temporally-smooth Procrustean Alignment module estimates 3D deforming shapes, adjusting camera motion by aligning the sequence consecutively. This module remedies complex reference 3D shape requirements, allowing for non-isotropic deformation modeling. Additionally, a spatial-weighted approach enforces low-rank constraint adaptively at different locations to accommodate drastic spatially-variant deformations. The method outperforms existing low-rank based methods and is validated through extensive experiments across various datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper solves problems in Non-Rigid Structure-from-Motion (NRSfM). It’s hard to know how things moved or rotated, and it’s also tricky to model big changes in shapes. The new method uses a special alignment tool that helps figure out camera movement by matching shapes together over time. This makes it easier to handle changes in shape. Another part of the method lets it adjust its “rules” for what makes sense at different parts of the object, which helps with really big changes. Overall, this method works better than others and is tested on many different datasets. |
Keywords
» Artificial intelligence » Alignment
