Method and system for robust human gender recognition using facial feature localization
First Claim
1. A method for determining the gender of people based on their facial images, comprising the following steps of:
- a) training a plurality of first machines for localizing a face and training a plurality of second machines for localizing facial features in the face using first facial images in a facial image database to extract first gender-sensitive features,b) training a learning machine for determining gender using the first gender-sensitive features,c) detecting at least a second face from input images of the people captured by at least a means for capturing images, and localizing the second face using the plurality of first machines, and localizing second facial features using the plurality of second machines based on the localized second face, to extract second gender-sensitive features, andd) determining the gender of the second face based on the second gender-sensitive features using the trained learning machine for determining gender.
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Abstract
The present invention is a method and system to provide a face-based automatic gender recognition system that utilizes localized facial features and hairstyles of humans. Given a human face detected from a face detector, it is accurately localized to facilitate the facial/hair feature detection and localization. Facial features are more finely localized using the geometrically distributed learning machines. Then the position, size, and appearance information of the facial features are extracted. The facial feature localization essentially decouples geometric and appearance information about facial features, so that a more explicit comparison can be made at the recognition stage. The hairstyle features that possess useful gender information are also extracted based on the hair region segmented, using the color discriminant analysis and the estimated geometry of the face. The gender-sensitive feature vector, made up from the extracted facial and hairstyle features, is fed to the gender recognition machines that have been trained using the same kind of gender-sensitive feature vectors of gallery images.
87 Citations
28 Claims
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1. A method for determining the gender of people based on their facial images, comprising the following steps of:
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a) training a plurality of first machines for localizing a face and training a plurality of second machines for localizing facial features in the face using first facial images in a facial image database to extract first gender-sensitive features, b) training a learning machine for determining gender using the first gender-sensitive features, c) detecting at least a second face from input images of the people captured by at least a means for capturing images, and localizing the second face using the plurality of first machines, and localizing second facial features using the plurality of second machines based on the localized second face, to extract second gender-sensitive features, and d) determining the gender of the second face based on the second gender-sensitive features using the trained learning machine for determining gender. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. An apparatus for determining the gender of people based on their facial images, comprising:
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a) means for training a plurality of first machines for localizing a face and training a plurality of second machines for localizing facial features in the face using first facial images in a facial image database to extract first gender-sensitive features, b) means for training a learning machine for determining gender using the first gender-sensitive features, c) means for detecting at least a second face from input images of the people captured by at least a means for capturing images, and localizing the second face using the plurality of first machines, and localizing second facial features using the plurality of second machines based on the localized second face, to extract second gender-sensitive features, and d) means for determining the gender of the second face based on the second gender-sensitive features using the trained learning machine for determining gender. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification