Files and links (1)
Accepted (AM)Open Access (License Unspecified), Open
Conference proceeding
3-D recognition and shape estimation from image contours using invariant 3-D object curve models
Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v 1992-, pp 722-725
1992
Abstract
The problem of recognizing and estimating the shape of objects with special markings (text, symbols, drawings, etc.) on their surfaces using B-spline curve modeling and a pair of binocular images is considered. As a direct consequence of the invariance of the B-splines to affine transformations the computation of the 3-D coordinates of the object curve points from a pair of stereo images becomes a straightforward task, and is obtained using minimum-mean-square-error estimation. The 3-D curve is recovered from the estimated object curve control points, and is subsequently used for the object shape estimation and classification.< >
Metrics
8 Record Views
1 citations in Scopus
Details
- Title
- 3-D recognition and shape estimation from image contours using invariant 3-D object curve models
- Creators
- F.S. Cohen - Drexel UniversityJ.-Y. Wang - Drexel University
- Publication Details
- Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v 1992-, pp 722-725
- Publisher
- IEEE Comput. Soc. Press
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-85027658811
- Other Identifier
- 991020531995804721