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Face recognition with combined PCA-based datasets

  • US 8,897,503 B2
  • Filed: 09/12/2011
  • Issued: 11/25/2014
  • Est. Priority Date: 08/02/2006
  • Status: Active Grant
First Claim
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1. A consumer digital camera including a processor programmed by digital code to perform a face recognition method for working with two or more collections of facial images, wherein the method comprises:

  • (a) determining distinct representation frameworks for first and second sets of facial regions extracted from corresponding image collections each framework including at least principle component analysis (PCA) features;

    (b) storing representations of said first and second sets of facial regions using their respective representation frameworks;

    (c) determining a third, distinct representation framework based on the representations of the first and second sets of facial regions;

    (d) combining the stored representation of the first and the second sets of facial regions without using original facial image samples;

    including back-projecting the sets of facial regions into their respective representation frameworks, combining the two back-projected representations of these sets of facial regions into a combined dataset, and forward projecting the combined dataset into the third representation framework;

    (e) storing a representation of the combined dataset using said third representation framework;

    (f) comparing a representation of a current facial region, determined in terms of said third representation framework, with one or more representations of facial images of the combined dataset; and

    (g) based on the comparing, determining whether one or more of the facial images within the combined dataset matches the current facial image.

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