1 March 1992 Hough transform for 3-D object recognition
Author Affiliations +
Abstract
This paper describes an approach to the recognition of objects of known shapes by matching, in the Hough space, the features (edges and normal vectors) extracted from range images to object models. The matching is carried out in hierarchy. First, a few candidate rotation matrices are determined based on the peaks in the Hough accumulator that represents the orientation of a reference vector. Then the translation parameters are evaluated for each rotation matrix, and the transformation is obtained based on the best interpretation between the model and the scene. The experiments indicate that the procedure is accurate, although optimization can further improve the estimates of the parameters.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xing Ping Cao, Gongzhu Hu, "Hough transform for 3-D object recognition", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); doi: 10.1117/12.135093; https://doi.org/10.1117/12.135093
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

Determining the Pose of an Object
Proceedings of SPIE (June 09 1986)
3D articulated object recognition: a case study
Proceedings of SPIE (October 29 1996)
A Sequential Technique For 3D Object Recognition
Proceedings of SPIE (December 11 1985)
The Vision By Pattern Aggregation - V.P.A.- System
Proceedings of SPIE (December 11 1985)

Back to Top