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Digital Human Body

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Geometric Modeling and Reasoning of Human-Centered Freeform Products

Abstract

As the reference of all human-centered products, digital human bodies are reconstructed from scanning data which are usually presented in the form of three-dimensional (3D) sample points. To support design automation, the scanned human bodies represented by point clouds need to be converted into surface representation. Feature points that are defined according to particular applications can be extracted from the surfaces. After that, cross-parameterization constrained by the feature points is conducted to establish a point-to-point correspondence between human bodies. Models with a consistent mesh connectivity which help the shape space analysis for human bodies can then be obtained. The statistical model established by the human bodies with a consistent mesh can be further used to correlate the shape of human bodies with semantic parameters. Such a correlation provides a method to synthesize human bodies by parametric inputs (named as parametric design of human bodies).

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Notes

  1. 1.

    On a 2D polygon, if the positions of three adjacent points \(\mathbf p _{i-1}\), \(\mathbf p _{i}\), and \(\mathbf p _{i+1}\) make the value of angle \(\angle \mathbf p _{i-1}\) \(\mathbf p _{i}\) \(\mathbf p _{i+1}\) smaller than a threshold, \(\mathbf p _{i}\) is considered as a turning point.

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  1. The Chinese University of Hong Kong, Hong Kong, People’s Republic of China

    Charlie C. L. Changling Wang

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Wang, C.C.L.C. (2013). Digital Human Body. In: Geometric Modeling and Reasoning of Human-Centered Freeform Products. Springer, London. https://doi.org/10.1007/978-1-4471-4360-4_2

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  • DOI: https://doi.org/10.1007/978-1-4471-4360-4_2

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