TRACKING AND SEMANTIC LABELING OF BOUNDARY DATA
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Published:1999-09
Issue:06
Volume:13
Page:859-879
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ISSN:0218-0014
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Container-title:International Journal of Pattern Recognition and Artificial Intelligence
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language:en
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Short-container-title:Int. J. Patt. Recogn. Artif. Intell.
Affiliation:
1. Heriot-Watt University, Department of Computing and Electrical Engineering, Riccarton, Edinburgh EH14 4AS, UK
Abstract
This paper describes a method to track and label contour data according to type or origin using registered depth and intensity images. Tracking is based on a simple continuity constraint, but type labeling is based on a concurrent analysis of the surrounding surface geometry with respect to a general reflectance model and a set of expected characteristics of the surfaces and boundary transitions. The method is demonstrated on a number of synthetic images and on real data acquired from triangulation and time-of-flight rangefinders.
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software