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Proceedings Paper

Hierarchical Pattern Matching With An Efficient Method For Estimating Rotations
Author(s): Jouko Viitanen; Pekka Hanninen; Reima Saarela; Jukka Saarinen
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Paper Abstract

Chamfer matching is a method for identifying and locating pre-determined objects in two-dimensional arrays. The method is reported to be very tolerant to noise, due to the cumulative error calculation. This paper will describe an efficient implementation of it for estimating rota-tional and translational parameters. It is suitable for use in vision sys-tems, where fast execution is essential, but the scenes to be analyzed may be noisy and occluded. Novel contributions are the method of estimating the angle of the best rotational fit of the model object with a scene, and the fast rotational scanning applied. Our method speeds up the calculation, especially in a proposed parallel processing environment.

Paper Details

Date Published: 19 October 1987
PDF: 6 pages
Proc. SPIE 0856, IECON '87: Industrial Applications of Robotics & Machine Vision, (19 October 1987); doi: 10.1117/12.943035
Show Author Affiliations
Jouko Viitanen, Tampere University of Technology (Finland)
Pekka Hanninen, Tampere University of Technology (Finland)
Reima Saarela, Tampere University of Technology (Finland)
Jukka Saarinen, Tampere University of Technology (Finland)

Published in SPIE Proceedings Vol. 0856:
IECON '87: Industrial Applications of Robotics & Machine Vision
Abe Abramovich, Editor(s)

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