The space of human body shapes

• Brett Allen

  University of Washington

• Brian Curless

  University of Washington

• Zoran Popović

  University of Washington

書誌事項

タイトル別名

• reconstruction and parameterization from range scans

抄録

We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the degrees of freedom are an affine transformation at each template vertex. The objective function is a weighted combination of three measures: proximity of transformed vertices to the range data, similarity between neighboring transformations, and proximity of sparse markers at corresponding locations on the template and target surface. We solve for the transformations with a non-linear optimizer, run at two resolutions to speed convergence. We demonstrate reconstruction and consistent parameterization of 250 human body models. With this parameterized set, we explore a variety of applications for human body modeling, including: morphing, texture transfer, statistical analysis of shape, model fitting from sparse markers, feature analysis to modify multiple correlated parameters (such as the weight and height of an individual), and transfer of surface detail and animation controls from a template to fitted models.

収録刊行物

• ACM Transactions on Graphics

  ACM Transactions on Graphics 22 (3), 587-594, 2003-07

  Association for Computing Machinery (ACM)

キーワード

• Computer Graphics and Computer-Aided Design

詳細情報

• CRID: 1364233268404020864
• NII論文ID: 30022063350
• DOI: 10.1145/882262.882311
• ISSN: 15577368
• ISSN: 07300301
• Web Site: https://dl.acm.org/doi/pdf/10.1145/882262.882311
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  • CiNii Articles