Yoon, Sang Min ; Kuijper, Arjan (2011)
3D Model Retrieval Using the Histogram of Orientation of Suggestive Contours.
Advances in Visual Computing. 7th International Symposium, ISVC 2011.
doi: 10.1007/978-3-642-24031-7_37
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The number of available 3D models in various areas increases steadily. Efficient methods to search for 3D models by content, rather than textual annotations, are crucial. For this purpose, we propose a content based 3D model retrieval system using the Histogram of Orientation (HoO) from suggestive contours and their diffusion tensor fields. Our approach to search and automatically return a set of 3D mesh models from a large database consists of three major steps: (1) suggestive contours extraction from different viewpoints to extract features of the query 3D model; (2) HoO descriptor computation by analyzing the diffusion tensor fields of the suggestive contours; (3) similarity measurement to retrieve the models and the most probable view-point. Our proposed 3D model retrieval system is very efficient to retrieve the 3D models even though there are variations of shape and pose of the models. Experimental results are presented and indicate the effectiveness of our approach, competing with the current - more complicated - state of the art method and even improving results for several classes.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2011 |
| Autor(en): | Yoon, Sang Min ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | 3D Model Retrieval Using the Histogram of Orientation of Suggestive Contours |
| Sprache: | Englisch |
| Publikationsjahr: | 2011 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 6939 |
| Veranstaltungstitel: | Advances in Visual Computing. 7th International Symposium, ISVC 2011 |
| DOI: | 10.1007/978-3-642-24031-7_37 |
| Kurzbeschreibung (Abstract): | The number of available 3D models in various areas increases steadily. Efficient methods to search for 3D models by content, rather than textual annotations, are crucial. For this purpose, we propose a content based 3D model retrieval system using the Histogram of Orientation (HoO) from suggestive contours and their diffusion tensor fields. Our approach to search and automatically return a set of 3D mesh models from a large database consists of three major steps: (1) suggestive contours extraction from different viewpoints to extract features of the query 3D model; (2) HoO descriptor computation by analyzing the diffusion tensor fields of the suggestive contours; (3) similarity measurement to retrieve the models and the most probable view-point. Our proposed 3D model retrieval system is very efficient to retrieve the 3D models even though there are variations of shape and pose of the models. Experimental results are presented and indicate the effectiveness of our approach, competing with the current - more complicated - state of the art method and even improving results for several classes. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Semantics in the modeling process, 3D Model segmentation, Human action recognition, Human models, Diffusion tensor fields |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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