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Generation of normalized 2D imagery and ID systems via 2D to 3D lifting of multifeatured objects

  • US 20070080967A1
  • Filed: 06/29/2006
  • Published: 04/12/2007
  • Est. Priority Date: 10/11/2005
  • Status: Abandoned Application
First Claim
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1. A method of estimating a 3D shape of a target head from at least one source 2D image of the head, the method comprising:

  • providing a library of candidate 3D avatar models; and

    searching among the candidate 3D avatar models to locate a best-fit 3D avatar, said searching involving for each 3D avatar model among the library of 3D avatar models computing a measure of fit between a 2D projection of that 3D avatar model and the at least one source 2D image, the measure of fit being based on at least one of (i) a correspondence between feature points in a 3D avatar and feature points in the at least one source 2D image, wherein at least one of the feature points in the at least one source 2D image is unlabeled, and (ii) a correspondence between feature points in a 3D avatar and their reflections in an avatar plane of symmetry, and feature points in the at least one source 2D image, wherein the best-fit 3D avatar is the 3D avatar model among the library of 3D avatar models that yields a best measure of fit and wherein the estimate of the 3D shape of the target head is derived from the best-fit 3D avatar.

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