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Face detection using division-generated Haar-like features for illumination invariance

  • US 8,977,056 B2
  • Filed: 10/31/2013
  • Issued: 03/10/2015
  • Est. Priority Date: 07/26/2010
  • Status: Active Grant
First Claim
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1. A method for determining whether a portion of an image contains a face, comprising:

  • for each region of an N number of regions of an image, determining a region value for that region such that an N number of region values are derived, wherein the N regions are within a particular portion of the image, and wherein N is an integer greater than two;

    generating a first feature value for a first feature, wherein generating the first feature value comprises;

    determining a first ratio by dividing a first sum of a first subset of the N number of region values by a second sum of a second subset of the N number of region values, wherein the first subset of the N number of region values corresponds to different regions than the second subset of the N number of region values; and

    determining the first feature value based on the first ratio;

    obtaining a first value range that is associated with the first feature, wherein first feature values within the first value range indicate a likelihood that a face is present;

    determining whether the first feature value falls within the first value range; and

    in response to determining that the first feature value does not fall within the first value range, storing data that indicates that the particular portion of the image does not contain a face;

    wherein the method is performed by one or more computing devices.

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