Complex shape modeling with point sampled geometry

  • Authors:
  • Matthew Ming-Fai Yuen;Yongjin Liu

  • Affiliations:
  • -;-

  • Venue:
  • Complex shape modeling with point sampled geometry
  • Year:
  • 2003

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Abstract

With the advances in 3D digital photography and scanning technology, complex digital free-form models become ubiquitous through the processing of huge point samples. In this thesis an efficient framework for the creation of 3D digital content with point sampled geometry is proposed. A new hierarchy of shape representation with three levels is adopted in this framework. Based on this new hierarchical shape representation, a set of shape editing operators is efficiently integrated into this framework. Both graphical and industrial applications are considered in this framework. For a quantitative shape quality evaluation, a new shape evaluation criterion with a quadratic error metric is proposed to guide the shape refinement process throughout the proposed framework. For an efficient digital geometric process, detailed numerical schemes are presented and analyzed towards a high-speed numerical engine inherent in the proposed framework. A great diversity of free-form shape models with various modeling operations is presented to demonstrate the efficiency and effectiveness of the proposed framework.