Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes
| Autor: | Amit Sethi, David J. Kriegman, David Renaudie, Jean Ponce |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Surface (mathematics)
business.industry 3D single-object recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object (computer science) Signature (logic) Silhouette Artificial Intelligence Computer Science::Computer Vision and Pattern Recognition Pattern recognition (psychology) Dual polyhedron Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Representation (mathematics) Software ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | International Journal of Computer Vision. 58:73-86 |
| ISSN: | 0920-5691 |
| DOI: | 10.1023/b:visi.0000016148.08046.fc |
| Popis: | This article addresses the problem of recognizing a solid bounded by a smooth surface in a single image. The proposed approach is based on a new representation for two- and three-dimensional shapes, called their signature, that exploits the close relationship between the dual of a surface and the dual of its silhouette in weak-perspective images. Objects are modeled by rotating them in front of a camera without any knowledge of or constraints on their motion. The signatures of their silhouettes are concatenated into a single object signature. To recognize an object from novel viewpoint other than those used during modeling, the signature of the contours extracted from a test photograph is matched to the signatures of all modeled objects signatures. This approach has been implemented, and recognition examples are presented. |
| Databáze: | OpenAIRE |
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