Self-organizing Deformable Model for Mapping 3D Object Model onto Arbitrary Target Surface

Authors:
Ken'ichi Morooka;Shun Matsui;Hiroshi Nagahashi
Affiliations:
Kyushu University, Japan;Tokyo Institute of Technology, Japan;Tokyo Institute of Technology, Japan
Venue:
3DIM '07 Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling
Year:
2007

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Cited 1

Self-organizing approach to moving surface reconstruction

ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision

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Abstract

This paper presents a new technique for projecting a 3D object mesh model onto a surface of another target object. The mesh model adapts its shape to the target surface, and is called Self-organizing DeformableModel(SDM). The SDM algorithm works by combining a competitive learning and an energy minimization. The framework of the SDM makes it possible to map a mesh model onto various kinds of target surfaces. This characteristic can not be seen in other methods for surface parameterization, and it enables us to apply the SDM to some different fields in computer vision and computer graphics. Also the SDM can reconstruct shapes of target objects similar to general deformable models.