Systems and methods for facial property identification
AssigneeTencent Technology (Shenzhen) Company Limited
InventorsPENGFEI XIONG, HAILONG LIU, BO CHEN, YAN LIU
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Abstract
Systems and methods are provided for facial property identification. For example, an image sample is acquired; a first effective area image of a face is acquired in the image sample; first textural features of the first effective area image are extracted; and the first textural features of the first effective area image are classified by race, gender and age using a race classifier, a gender classifier and an age classifier successively to obtain a race property, a gender property and an age property of the face.
Claims26
A method for facial property identification, the method comprising:
- acquiring an image sample;
- acquiring a first effective area image of a face in the image sample;
- extracting first textural features of the first effective area image;
- and
- classifying the first textural features of the first effective area image by race, gender and age using a race classifier, a gender classifier and an age classifier successively to obtain a race property, a gender property and an age property of the face.
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A system for facial property identification, comprising:
- a test-sample-acquisition module configured to acquiring an image sample;
- an effective-area-image-acquisition module configured to acquire a first effective area image of a face in the image sample;
- a textural-feature-extraction module configured to extract first textural features of the first effective area image;
- and
- a facial-property-identification module configured to classify the first textural features of the first effective area image by race, gender and age using a race classifier, a gender classifier and an age classifier successively to obtain a race property, a gender property and an age property of the face.
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A non-transitory computer readable storage medium comprising programming instructions for facial property identification, the programming instructions configured to cause one or more data processors to execute operations comprising:
- acquiring an image sample;
- acquiring a first effective area image of a face in the image sample;
- extracting first textural features of the first effective area image;
- and
- classifying the first textural features of the first effective area image by race, gender and age using a race classifier, a gender classifier and an age classifier successively to obtain a race property, a gender property and an age property of the face.
Dependencies are inferred from the claim text.