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Proceedings Paper

Refinding objects using model-based knowledge
Author(s): Markus Vincze; W. Frhwirth; Thomas Berndorfer; Dietmar Legenstein
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Paper Abstract

The process of automatically finding objects is very important for tracking and grasping objects using computer vision. Object finding is on the one hand a very time consuming process and on the other hand very sensitive to varying environmental conditions. Hence initialization is often performed manually. This work presents a method that operates automatically, threshold-free, and uses only model based information. Region based attributes such as color or texture are used in combination with a multi-spectral classification method to build a gray scale image, where regions with a high likelihood for the object searched are bright and the other parts are dark. To adapt to the ambient lighting situation a color measurement and a full matrix color transform are proposed and evaluated. First test runs show that this approach is fast and robust and enables the successful and automatic object finding.

Paper Details

Date Published: 5 October 2001
PDF: 8 pages
Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, (5 October 2001); doi: 10.1117/12.444206
Show Author Affiliations
Markus Vincze, Technische Univ. Wien (Austria)
W. Frhwirth, Technische Univ. Wien (Austria)
Thomas Berndorfer, Technische Univ. Wien (Austria)
Dietmar Legenstein, Technische Univ. Wien (Austria)


Published in SPIE Proceedings Vol. 4572:
Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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