Three-dimensional human shape inference from silhouettes: reconstruction and validation

@article{Boisvert2011ThreedimensionalHS,
  title={Three-dimensional human shape inference from silhouettes: reconstruction and validation},
  author={Jonathan Boisvert and Chang Shu and Stefanie Wuhrer and Pengcheng Xi},
  journal={Machine Vision and Applications},
  year={2011},
  volume={24},
  pages={145-157}
}
Silhouettes are robust image features that provide considerable evidence about the three-dimensional (3D) shape of a human body. The information they provide is, however, incomplete and prior knowledge has to be integrated to reconstruction algorithms in order to obtain realistic body models. This paper presents a method that integrates both geometric and statistical priors to reconstruct the shape of a subject assuming a standardized posture from a frontal and a lateral silhouette. The method… CONTINUE READING
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