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Particle Filters and Occlusion Handling for Rigid 2D-3D Pose Tracking
In this paper, we address the problem of 2D-3D pose estimation. Specifically, we propose an approach to jointly track a rigid object in a 2D image sequence and to estimate its pose (position and orientation) in 3D space. We revisit a joint 2D segmentation/3D pose estimation technique, and then exten...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3775392/ https://ncbi.nlm.nih.gov/pubmed/24058277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cviu.2013.04.002 |
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