In this work, we proposed two methods for isometric deformation invariant 3D shape recognition. Both are based on the geodesic distance matrix (GDM).
Isometric deformation invariant 3D shape recognition · D. Smeets, Jeroen Hermans, +1 author. P. Suetens · Published in Pattern Recognition 1 July 2012 · Computer ...
Title. Isometric deformation invariant 3D shape recognition. Authors. Smeets, Dirk; Hermans, Jeroen; Vandermeulen, Dirk; Suetens, Paul. Publication ...
Pattern Recognition ; Publication date · 2012-07-01 ; Volume · 45 ; Pages · 2817 - ; Publisher · Pergamon Press.
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Abstract. We present two methods for isometrically deformable object recognition. The methods are built upon the use of geodesic distance.
We presented a matching method for 3D shapes, which is invariant with respect to isometric deformations. This method comprises a new technique for sampling ...
Oct 22, 2024 · This paper presents a matching method for 3D shapes, which comprises a new technique for surface sampling and two algorithms for matching 3D ...
We presented a matching method for 3D shapes, which is in- variant with respect to isometric deformations. This method comprises a new technique for sampling 3D ...
Abstract. Non-rigid 3D shape retrieval and descriptors has become an active and important research topic in content- based 3D object.
Shape deformations preserving the intrinsic properties of a surface are called isometries. An isometry deforms a surface without tearing or stretching it, and ...