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Building systems for tracking facial features across individuals and groups

  • US 9,111,134 B1
  • Filed: 03/12/2013
  • Issued: 08/18/2015
  • Est. Priority Date: 05/22/2012
  • Status: Active Grant
First Claim
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1. A computer implemented method for generating a non-transient record embodying a measure of a location of a feature of a face of a person, the method comprising:

  • a. receiving a video sequence that constitutes a physical record of the face of a specified individual person;

    b. applying a feature locator update model to the video sequence, the feature locator update model derived by steps of;

    i. defining a set of training data consisting of training images with associated facial feature locations;

    ii. generating a set of facial feature displacements for each training image with associated image sample vectors; and

    iii. training a regularized linear regression which maps from image sample vectors to displacement vectors, wherein the regularized linear regression is characterized by regularization that includes a spatial smoothness term within the shape-free sample space; and

    c. extracting a feature location, based on the feature update model, characterizing the location of the feature of the face of the specified individual person; and

    d. storing the feature location to the non-transient record.

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