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Method and system for robust demographic classification using pose independent model from sequence of face images

  • US 7,848,548 B1
  • Filed: 06/11/2007
  • Issued: 12/07/2010
  • Est. Priority Date: 06/11/2007
  • Status: Active Grant
First Claim
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1. A method for automatically performing robust and efficient demographics classification based on a sequence of facial images of people, using a pose-independent facial image representation, comprising the following steps of:

  • a) capturing a plurality of input images of the people by a plurality of means for capturing images,b) detecting faces in a plurality of images captured from said means for capturing imagesc) estimating a two-dimensional facial pose and three-dimensional facial pose of the detected face by employing a parallel array of multiple learning machine regressors,d) tracking the faces to keep the identity of the person,e) constructing multiple pose-dependent appearance models of the faces that belong to a given track, andf) performing demographics classification based on a pose-independent face representation, wherein the method further comprises multiple pose-dependent facial appearance models built for tracking and classification, based on an estimated pose of the face, andwhereby demographic information can comprise age, gender, and ethnicity information.

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