| DOI | Trouver le DOI : https://doi.org/10.1117/12.131542 |
|---|
| Auteur | Rechercher : Boulanger, Pierre1; Rechercher : Godin, Guy1 |
|---|
| Affiliation | - Conseil national de recherches du Canada. Institut de technologie de l'information du CNRC
|
|---|
| Format | Texte, Article |
|---|
| Conférence | Applications in Optical Science and Engineering, November 15-20, 1992, Boston, Massachusetts, United States |
|---|
| Résumé | This paper describes recent work on hierarchical segmentation of range images. The algorithm starts with an initial partition of small planar regions using a robust fitting method constrained by the detection of depth and orientation discontinuities. From this initial partition represented by an adjacency graph structure, we optimally group these regions into larger and larger regions until an approximation limit is reached. The algorithm uses Bayesian decision theory to determine the local optimal grouping and the geometrical complexity of the approximation surface. This algorithm produces a hierarchical structure that can be used to represent objects with a varying level of detail by scanning through the hierarchical structure generated. Experimental results are presented. |
|---|
| Date de publication | 1992-11-01 |
|---|
| Maison d’édition | SPIE |
|---|
| Dans | |
|---|
| Série | |
|---|
| Langue | anglais |
|---|
| Publications évaluées par des pairs | Oui |
|---|
| Numéro du CNRC | NRCC 33232 |
|---|
| Numéro NPARC | 8913598 |
|---|
| Exporter la notice | Exporter en format RIS |
|---|
| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
|---|
| Identificateur de l’enregistrement | 807cb6b9-3cdb-4a18-82a3-671dcfbfdf99 |
|---|
| Enregistrement créé | 2009-04-22 |
|---|
| Enregistrement modifié | 2024-05-09 |
|---|
