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Proceedings Paper

Method Of 2D And 3D Object Recognition In Nonoptimal Conditions
Author(s): Hannu Hakalahti; Ilkka Moring
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Paper Abstract

This paper describes an object recognition method that works in nonoptimal conditions. The method does not require a fixed camera position and can be applied in cases of partially occluded objects and noisy image data. The method is based on matching local properties of the contours of the model with the corresponding properties of image contours using a Hough-method. A general scheme for three-dimensional recognition is developed. The special case of two-dimensional recognition is carefully studied and a two-phase, piece-wise algorithm tuned for hardware realization is designed. The performance of the algorithms is shown through experiments.

Paper Details

Date Published: 17 January 1985
PDF: 10 pages
Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); doi: 10.1117/12.946160
Show Author Affiliations
Hannu Hakalahti, University of Oulu (Finland)
Ilkka Moring, University of Oulu (Finland)


Published in SPIE Proceedings Vol. 0521:
Intelligent Robots and Computer Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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