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Optical Engineering

Invariant object recognition under three-dimensional rotations and changes of scale
Author(s): Sebastien Roy; Henri H. Arsenault; Daniel Lefebvre
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Paper Abstract

Research on object recognition invariant under out-of-plane rotations has so far yielded limited results. The problem becomes even more complex when in addition scale changes must also be taken into account. We develop a new object recognition method invariant to translations, rotations, changes of pose, and scale. The method is based on angular wedge sampling about the centroid of the object, yielding translation-, rotation-, and scale-invariant features. A modified feature space trajectory classifier is used to obtain out-of-plane rotation invariance. The method is successfully tested on models of military land vehicles and is optically implementable.

Paper Details

Date Published: 1 March 2003
PDF: 9 pages
Opt. Eng. 42(3) doi: 10.1117/1.1543158
Published in: Optical Engineering Volume 42, Issue 3
Show Author Affiliations
Sebastien Roy, Univ. of Montreal (Canada)
Henri H. Arsenault, Univ. Laval (Canada)
Daniel Lefebvre, Univ. Laval (Canada)


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