A Classification of Critical Configurations for any Number of Projective Views
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911750117392384 |
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| author | Bråtelund, Martin |
| author_facet | Bråtelund, Martin |
| contents | Structure from motion is the process of recovering information about cameras and 3D scene from a set of images. Generally, in a noise-free setting, all information can be uniquely recovered if enough images and image points are provided. There are, however, certain cases where unique recovery is impossible, even in theory; these are called critical configurations. We use a recently developed algebraic approach to classify all critical configurations for any number of projective cameras. We show that they form well-known algebraic varieties, such as quadric surfaces and curves of degree at most 4. This paper also improves upon earlier results both by finding previously unknown critical configurations and by showing that some configurations previously believed to be critical are in fact not. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_03450 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Classification of Critical Configurations for any Number of Projective Views Bråtelund, Martin Computer Vision and Pattern Recognition Structure from motion is the process of recovering information about cameras and 3D scene from a set of images. Generally, in a noise-free setting, all information can be uniquely recovered if enough images and image points are provided. There are, however, certain cases where unique recovery is impossible, even in theory; these are called critical configurations. We use a recently developed algebraic approach to classify all critical configurations for any number of projective cameras. We show that they form well-known algebraic varieties, such as quadric surfaces and curves of degree at most 4. This paper also improves upon earlier results both by finding previously unknown critical configurations and by showing that some configurations previously believed to be critical are in fact not. |
| title | A Classification of Critical Configurations for any Number of Projective Views |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2401.03450 |