POSE-ROBUST RECOGNITION
First Claim
1. A method comprising:
- under control of one or more processors configured with executable instructions,determining a first pose category of at least a portion of a first image from among a plurality of pose categories;
transforming at least the portion of the first image to a second pose category corresponding to a second image to obtain a transformed image; and
comparing the transformed image with the second image to determine, at least in part, whether the first image is a match with the second image.
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Accused Products
Abstract
Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations transform at least a portion of an image from a first intrapersonal condition to a second intrapersonal condition to enable more accurate comparison with another image. Some implementations may determine a pose category of an input image and may modify at least a portion of the input image to a different pose category of another image for comparing the input image with the other image. Further, some implementations provide for compression of data representing at least a portion of the input image to decrease the dimensionality of the data.
74 Citations
20 Claims
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1. A method comprising:
under control of one or more processors configured with executable instructions, determining a first pose category of at least a portion of a first image from among a plurality of pose categories; transforming at least the portion of the first image to a second pose category corresponding to a second image to obtain a transformed image; and comparing the transformed image with the second image to determine, at least in part, whether the first image is a match with the second image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. Computer-readable media maintaining instructions executable by one or more processors to perform operations comprising:
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receiving a first image for facial recognition; dividing a face in the first image into a plurality of facial components; transforming at least one facial component of the plurality of facial components from a first pose category to a second pose category; comparing the plurality of facial components of the first image with analogous facial components of a second image corresponding to the second pose category to determine, at least in part, whether there is a match between the first image and the second image. - View Dependent Claims (12, 13, 14, 15)
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16. A computing device comprising:
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one or more processors in operable communication with computer-readable media; a feature extraction module maintained on the computer-readable media and executed on the one or more processors to use multiple descriptors to extract features from a facial component of an input image; a compression module maintained on the computer-readable media and executed on the one or more processors to compress the features extracted using the multiple descriptors to obtain a final descriptor representative of the facial component. - View Dependent Claims (17, 18, 19, 20)
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Specification