Range data from stereo images of edge points

Author

Lim, Hong Seh

Author_Institution

IBM Corp., Palo Alto, CA, USA

fYear

1990

fDate

24-27 Sep 1990

Firstpage

454

Abstract

The author presents an algorithm and implementation for recovering range data from stereo images of edge points. The recovered data are used for object identification and localization. Parallel laser light planes are projected on a polyhedral object. The light planes appear as a set of broken straight segments in images. Discontinuities along these straight segments correspond to normal discontinuities on the underlying surfaces. Points of discontinuities in the image are extracted as edge points and they lie on edges of the underlying object. Matching edge points between stereo images give range data. The matching algorithm uses the epipolar constraint, a relational constraint, and an ordering constraint. The range data can be arranged in order according to the light planes to which they belong. Experimental results of the matching process and the accuracy of recovered data are presented

Keywords

pattern recognition; picture processing; discontinuities; edge points; epipolar constraint; experimental results; matching algorithm; object identification; object localisation; ordering constraint; parallel laser light planes; polyhedral object; range data; recovered data; relational constraint; stereo images; Assembly; Cellular neural networks; Image segmentation; Image sensors; Inspection; Milling machines; Object recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Communication Systems, 1990. IEEE TENCON'90., 1990 IEEE Region 10 Conference on

Print_ISBN

0-87942-556-3

Type

conf

DOI

10.1109/TENCON.1990.152652

Filename

152652