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

  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},
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
Highly Cited
This paper has 37 citations. REVIEW CITATIONS
15 Citations
33 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 15 extracted citations


Publications referenced by this paper.
Showing 1-10 of 33 references

Similar Papers

Loading similar papers…