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Geometric matching for free-form 3D object recognition
Auteur(s)
Hügli, Heinz
Schütz, Christian
Semitekos, Dimitrios
Date de parution
1995
In
Proceeding ACCV'95 (Asian Conference on Computer Vision), Institute of Electrical and Electronics Engineers (IEEE), 1995///1-6
Résumé
This paper investigates a new approach to the recognition of 3D objects of arbitrary shape. The proposed solution follows the principle of model-based recognition using geometric 3D models and geometric matching. It is an alternative to the classical segmentation and primitive extraction approach and provides a perspective to escape the difficulties found with it when dealing with free-form shapes. The heart of this new approach is geometric registration which is performed by a closest point matching algorithm. Reported investigations examine the practical effectiveness of this approach for views obtained from range imaging and address relevant aspects of associated computational costs. The paper proposes solutions allowing to keep track with these costs and presents results assessing the practical feasibility of this approach.
Identifiants
Type de publication
journal article
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