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Reconstructing individual hand models from motion capture data
Author(s) -
Yui Endo,
Mitsunori Tada,
Masaaki Mochimaru
Publication year - 2014
Publication title -
journal of computational design and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.764
H-Index - 24
eISSN - 2288-5048
pISSN - 2288-4300
DOI - 10.7315/jcde.2014.001
Subject(s) - motion capture , rotation (mathematics) , link (geometry) , computer vision , coordinate system , surface (topology) , process (computing) , landmark , deformation (meteorology) , computer science , motion (physics) , artificial intelligence , triangle mesh , joint (building) , polygon mesh , geometry , algorithm , mathematics , engineering , physics , structural engineering , combinatorics , meteorology , operating system
In this paper, we propose a new method of reconstructing the hand models for individuals, which include the link structure models, the homologous skin surface models and the homologous tetrahedral mesh models in a reference posture. As for the link structure model, the local coordinate system related to each link consists of the joint rotation center and the axes of joint rotation, which can be estimated based on the trajectories of optimal markers on the relative skin surface region of the subject obtained from the motion capture system. The skin surface model is defined as a three-dimensional triangular mesh, obtained by deforming a template mesh so as to fit the landmark vertices to the relative marker positions obtained motion capture system. In this process, anatomical dimensions for the subject, manually measured by a caliper, are also used as the deformation constraints

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