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EnglishIn this work we propose a novel Hough voting approach for the detection of free-form shapes in a 3D space, to be used for object recognition tasks in 3D scenes with a significant degree of occlusion and clutter. The proposed method relies on matching 3D features to accumulate evidence of the presence of the objects being sought in a 3D Hough space. We validate our proposal by presenting a quantitative experimental comparison with state-of-the-art methods as well as by showing how our method enables 3D object recognition from real-time stereo data.
| Titolo: | Object recognition in 3D scenes with occlusions and clutter by Hough voting | |
| Autore/i: | TOMBARI, FEDERICO; DI STEFANO, LUIGI | |
| Autore/i Unibo: | ||
| Anno: | 2010 | |
| Titolo del libro: | Proceedings of the Fourth Pacific-Rim Symposium on Image and Video Technology | |
| Pagina iniziale: | 349 | |
| Pagina finale: | 355 | |
| Abstract: | In this work we propose a novel Hough voting approach for the detection of free-form shapes in a 3D space, to be used for object recognition tasks in 3D scenes with a significant degree of occlusion and clutter. The proposed method relies on matching 3D features to accumulate evidence of the presence of the objects being sought in a 3D Hough space. We validate our proposal by presenting a quantitative experimental comparison with state-of-the-art methods as well as by showing how our method enables 3D object recognition from real-time stereo data. | |
| Data prodotto definitivo in UGOV: | 2-feb-2011 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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