Reconstruction of the surface of the human body from 3D scanner data using B-splines

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Abstract
There are an increasing number of applications that require the construction of computerized human body models. Recently, Hamamatsu Photonics have developed an accurate and fast scanner based on position-sensitive photon detectors, capable of providing in a few seconds a dense representation of the body. The work presented here is designed to exploit such a scanner's capabilities. An algorithm is introduced that deals with the surface-from-curves problem and can be combined with an existing curves-from-points algorithm to solve the surface-from-points problems. The algorithm takes as input a set of B-spline curves and uses them to drive a fast and robust surface generation process. This is done by adequately sampling the curves, in a manner that incorporates explicit assumptions about human body geometry and topology. The result is a compound, multi-segment, and yet entirely smooth surface, that my be used to calculate body volume and surface area.

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