Object recognition using both range and intensity image in machine vision

Bo Liu; Liying Wu; Jian Zhang; Qi-Shan Wang

doi:10.1117/12.232230

21 February 1996 Object recognition using both range and intensity image in machine vision

Bo Liu, Liying Wu, Jian Zhang, Qi-Shan Wang

Proceedings Volume 2665, Machine Vision Applications in Industrial Inspection IV; (1996) https://doi.org/10.1117/12.232230
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

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.

Citation Download Citation

Bo Liu, Liying Wu, Jian Zhang, and Qi-Shan Wang "Object recognition using both range and intensity image in machine vision", Proc. SPIE 2665, Machine Vision Applications in Industrial Inspection IV, (21 February 1996); https://doi.org/10.1117/12.232230

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