Abstract
An approach to automatically select stable and salient representative views of a given 3D object is proposed. Initially, a set of viewpoints are uniformly sampled along the surface of a bounding sphere. The sampled viewpoints are connected to their closest points to form a spherical graph in which each edge is weighted by a similarity measure between the two views from its incident vertices. Partitions of similar views are obtained using a graph partitioning procedure and their "centroids" are considered to be their representative views. Finally, the views are ranked based on a saliency measure to form the object's representative views. This leads to a compact, human-oriented 2D description of a 3D object, and as such, is useful both for traditional applications like presentation and analysis of 3D shapes, and for emerging ones like indexing and retrieval in large shape repositories.
| Original language | English |
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| Title of host publication | IEEE International Conference on Shape Modeling and Applications 2006 |
| Publisher | IEEE |
| Pages | 40 |
| Number of pages | 1 |
| ISBN (Print) | 9780769525914 |
| DOIs | |
| Publication status | Published - 26 Jun 2006 |
| Event | IEEE International Conference on Shape Modeling and Applications 2006 - Matsushima, Japan Duration: 14 Jun 2006 → 16 Jun 2006 |
Conference
| Conference | IEEE International Conference on Shape Modeling and Applications 2006 |
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| Abbreviated title | SMI 2006 |
| Country/Territory | Japan |
| City | Matsushima |
| Period | 14/06/06 → 16/06/06 |
ASJC Scopus subject areas
- General Engineering