Robust shape normalization of 3D articulated volumetric models

  • Authors:

  • Chao Wang;Yu-Shen Liu;Min Liu;Jun-Hai Yong;Jean-Claude Paul

  • Affiliations:

  • School of Software, Tsinghua University, Beijing 100084, China and Department of Computer Science and Technology, Tsinghua University, China;School of Software, Tsinghua University, Beijing 100084, China and Key Laboratory for Information System Security, Ministry of Education of China, China and Tsinghua National Laboratory for Inform ...;Institute of Manufacturing Engineering, Tsinghua University, China;School of Software, Tsinghua University, Beijing 100084, China and Key Laboratory for Information System Security, Ministry of Education of China, China and Tsinghua National Laboratory for Inform ...;School of Software, Tsinghua University, Beijing 100084, China and INRIA, France

  • Venue:
  • Computer-Aided Design
  • Year:
  • 2012

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Abstract

3D shape normalization is a common task in various computer graphics and pattern recognition applications. It aims to normalize different objects into a canonical coordinate frame with respect to rigid transformations containing translation, rotation and scaling in order to guarantee a unique representation. However, the conventional normalization approaches do not perform well when dealing with 3D articulated objects. To address this issue, we introduce a new method for normalizing a 3D articulated object in the volumetric form. We use techniques from robust statistics to guide the classical normalization computation. The key idea is to estimate the initial normalization by using implicit shape representation, which produces a novel articulation insensitive weight function to reduce the influence of articulated deformation. We also propose and prove the articulation insensitivity of implicit shape representation. The final solution is found by means of iteratively reweighted least squares. Our method is robust to articulated deformation without any explicit shape decomposition. The experimental results and some applications are presented for demonstrating the effectiveness of our method.