1 March 1990 Three-Dimensional Generalized Hough Transform For Object Identification
Author Affiliations +
Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990); doi: 10.1117/12.969749
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
A generalized version of the Hough transform, called the 3-D Generalized Hough Transform (3-D GHT), provides an effective technique for the identification and location determination of objects in three dimensional Euclidean space. This technique is suitable for multiple object identification with occlusion; the surfaces of the objects of interest may have arbitrary complexity. The 3-D GHT is defined with respect to a 21/2-D image in which the surface normal has been determined for each pixel. As with the 2-D generalized Hough transform (2-D GHT), each active pixel is mapped into a set of locations in an accumulator array by means of a table defined for a given object. Peaks in this array correspond to possible locations for the transform defining object. A figure of merit is computed for each significant peak based on its local neighborhood in accumulator space in order to normalize with respect to noise and interference from other objects. Peak merit values from different object arrays for a given location are compared to determine the object type. The 3-D GHT has been tested with a number of synthetic range images to which various amounts of Gaussian noise had been added. The results indicate that the 3-D GHT generates less false peaks than the 2-D GHT. Furthermore, the 3-D GHT can distinguish between some objects that appear identical to the 2-D GHT due to the use of range information. The 3-D GHT has also been shown to be effective in multiple object images in which objects occluded each other.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wang-He Lou, Anthony P. Reeves, "Three-Dimensional Generalized Hough Transform For Object Identification", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969749; https://doi.org/10.1117/12.969749
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

Experiments with perceptual grouping
Proceedings of SPIE (February 01 1991)
A Sequential Technique For 3D Object Recognition
Proceedings of SPIE (December 11 1985)
Hough transform for 3-D object recognition
Proceedings of SPIE (March 01 1992)
High-Level Information For Scene Description
Proceedings of SPIE (March 01 1990)

Back to Top