Inteval Analysis for two spherical functions arising from robust Perspective-n-Lines problem
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866913714088706048 |
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| author | Zheng, Xiang Jiang, Haodong Wu, Junfeng |
| author_facet | Zheng, Xiang Jiang, Haodong Wu, Junfeng |
| contents | This report presents a comprehensive interval analysis of two spherical functions derived from the robust Perspective-n-Lines (PnL) problem. The study is motivated by the application of a dimension-reduction technique to achieve global solutions for the robust PnL problem. We establish rigorous theoretical results, supported by detailed proofs, and validate our findings through extensive numerical simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_00400 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Inteval Analysis for two spherical functions arising from robust Perspective-n-Lines problem Zheng, Xiang Jiang, Haodong Wu, Junfeng Computer Vision and Pattern Recognition Robotics This report presents a comprehensive interval analysis of two spherical functions derived from the robust Perspective-n-Lines (PnL) problem. The study is motivated by the application of a dimension-reduction technique to achieve global solutions for the robust PnL problem. We establish rigorous theoretical results, supported by detailed proofs, and validate our findings through extensive numerical simulations. |
| title | Inteval Analysis for two spherical functions arising from robust Perspective-n-Lines problem |
| topic | Computer Vision and Pattern Recognition Robotics |
| url | https://arxiv.org/abs/2503.00400 |