Share Email Print
cover

Proceedings Paper

Object recognition using both range and intensity image in machine vision
Author(s): Bo Liu; Liying Wu; Jian Zhang; Qi-Shan Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In 2D intensity image, the problems often cause wrong object recognition such as: los of depth information, shadows, overlapping objects. The main advantages of range image are the acquisition of depth information, which makes the separation easy, but it has blind areas; the boundary with special direction cannot be found. Using both intensity image and range image to do 3D object recognition can make full use of the advantages to avoid the shortcomings of each kind of image. Edge detection, grouping and linking, image segmentation, and outline determination are performed in both images. If the match between the two results is good, either one may be accepted, but if the match error is big, we need to confirm which one will be accepted or rejected. After examining each step, the criteria are used to form the outline of the object, then, the type, size, position, and orientation of each object can be calculated and determined.

Paper Details

Date Published: 21 February 1996
PDF: 4 pages
Proc. SPIE 2665, Machine Vision Applications in Industrial Inspection IV, (21 February 1996); doi: 10.1117/12.232230
Show Author Affiliations
Bo Liu, Harbin Univ. of Science and Technology (China)
Liying Wu, Harbin Univ. of Science and Technology (China)
Jian Zhang, Harbin Univ. of Science and Technology (China)
Qi-Shan Wang, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 2665:
Machine Vision Applications in Industrial Inspection IV
A. Ravishankar Rao; Ning Chang, Editor(s)

© SPIE. Terms of Use
Back to Top