Spherical mapping based descriptors for 3D object matching
Date Issued
2007-09-09
Author(s)
Mustafa, Blerim
Abstract
Matching 3D objects by their similarity is a
fundamental problem in computer vision, multimedia
databases, molecular biology, computer graphics and a
variety of other fields. A challenging aspect of this problem
is to find a suitable shape signature/descriptor that can be
constructed and compared quickly, while still discriminating
between similar and dissimilar shapes.
We find that the major problems in comparing 3D mesh
objects lie in the non-uniform vertex sampling and level of
detail distribution, in the non-uniform polygon topology and
in mesh-representation anomalies, so the primary
motivation behind the work presented in this paper is the
introduction of mesh-parameterization which brings meshes
into a form having uniform vertex sampling, uniform
polygon topology and filtered anomalies, by spherically
mapping the mesh surface.
Further, we present two approaches in inferring shapedescriptors from the spherically mapped objects and the
results from the conducted experiments.
fundamental problem in computer vision, multimedia
databases, molecular biology, computer graphics and a
variety of other fields. A challenging aspect of this problem
is to find a suitable shape signature/descriptor that can be
constructed and compared quickly, while still discriminating
between similar and dissimilar shapes.
We find that the major problems in comparing 3D mesh
objects lie in the non-uniform vertex sampling and level of
detail distribution, in the non-uniform polygon topology and
in mesh-representation anomalies, so the primary
motivation behind the work presented in this paper is the
introduction of mesh-parameterization which brings meshes
into a form having uniform vertex sampling, uniform
polygon topology and filtered anomalies, by spherically
mapping the mesh surface.
Further, we present two approaches in inferring shapedescriptors from the spherically mapped objects and the
results from the conducted experiments.
Subjects
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