EPro-PnP : Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Locating 3D objects from a single RGB image via Perspective-n-Point (PnP) is a long-standing problem in computer vision. Driven by end-to-end deep learning, recent studies suggest interpreting PnP as a differentiable layer, allowing for partial learning of 2D-3D point correspondences by backpropagat...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 11 vom: 01. Okt., Seite 9413-9425
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| Auteur principal: |
Chen, Hansheng
(Auteur) |
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| Autres auteurs: |
Tian, Wei,
Wang, Pichao,
Wang, Fan,
Xiong, Lu,
Li, Hao |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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