Paper
10 October 1994 Multiscale object representation using surface patches
Wassim Alami, Gregory Dudek
Author Affiliations +
Abstract
We introduce an approach to the representation of curved or polyhedral 3-D objects and apply this representation to pose estimation. The representation is based on surface patches with uniform curvature properties extracted at multiple scales. These patches are computed using multiple alternative decompositions of the surface based on the signs of the mean and Gaussian curvatures. Initial coarse decompositions are subsequently refined using a curvature compatibility scheme to rectify the effect of noise and quantization errors. The extraction of simple uniform curvature features is limited by the fact that the optimal scale of processing for a single object is very difficult to determine. As a solution we propose the segmentation of range data into patches at multiple scales. A hierarchical ranking of these patches is then used to describe individual objects based on geometric information. These geometric descriptors are ranked according to several criteria expressing their estimated stability and utility. The applicability of the resulting multi-scale description is demonstrated by estimating the pose of a 3-D object. Pose estimation is cast as an optimal matching problem. The geometric pose transformation is computed by matching two representations, which amounts to finding the three-patch correspondence that produces the best global consistency. Examples of the multi- scale representation applied to both real and simulated range data are presented. Effective pose estimation is demonstrated and the algorithm's behavior in the presence of noise is validated.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wassim Alami and Gregory Dudek "Multiscale object representation using surface patches", Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); https://doi.org/10.1117/12.188884
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Motion estimation

Error analysis

Multiscale representation

Data modeling

Object recognition

3D modeling

RELATED CONTENT

Maritime target identification in gated viewing imagery
Proceedings of SPIE (October 13 2015)
Dense-depth map from multiple views
Proceedings of SPIE (April 01 1991)
Toward the recognition of 3D free-form objects
Proceedings of SPIE (October 03 1995)
Fast method of segmentation and indexing MPEG1-2 flow
Proceedings of SPIE (June 23 2003)

Back to Top