Face identification apparatus, face identification method, and face identification program
First Claim
1. A face identification apparatus comprising:
- a face identification measure for identifying a face of an object person, based on an image of said object person taken by a camera;
a face region expectation measure for expecting a face region of said object person in said image, based on distance information representing a distance from said camera to said object person, and profile information and flesh-color region information of said object person generated from said image;
a pupil-candidate-point detection measure for generating a standard image with converting said face region to an image of a standard size, based on said distance information, setting a search region with making it a standard a center of gravity of said face region in the standard image, searching a circular edge for each pixel included in the search region, and detecting a right pupil candidate point and left pupil candidate point of said object person out of pixels of a predetermined circular edge;
a reference data generation measure for rotating said standard image so that a line segment connecting said right pupil candidate point and said left pupil candidate point becomes horizontal within said standard image, then generating a normalization image with making it a standard a distance of said right pupil candidate point and said left pupil candidate point, and making reference data for evaluating advisability of said face region from the normalization image; and
a face region evaluation measure for obtaining a degree of approximation between said reference data and standard data prepared in advance and evaluating the advisability of said face region, based on the obtained degree of approximation.
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Abstract
A face identification apparatus for identifying a face is designed to have a face region expectation measure for expecting his/her face region within the image; a pupil-candidate-point detection measure for converting the face region to an image of a standard size, making it a standard image, and detecting his/her right/left pupil candidate points out of a search region within the standard image; a reference data generation measure for generating a normalization image from the standard image with making it a standard a distance of the right/left pupil candidate points and making reference data for evaluating advisability of the face region from the normalization image; and a face region evaluation measure for obtaining a degree of approximation between the reference data and standard data prepared in advance and evaluating the advisability of the face region.
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Citations
9 Claims
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1. A face identification apparatus comprising:
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a face identification measure for identifying a face of an object person, based on an image of said object person taken by a camera;
a face region expectation measure for expecting a face region of said object person in said image, based on distance information representing a distance from said camera to said object person, and profile information and flesh-color region information of said object person generated from said image;
a pupil-candidate-point detection measure for generating a standard image with converting said face region to an image of a standard size, based on said distance information, setting a search region with making it a standard a center of gravity of said face region in the standard image, searching a circular edge for each pixel included in the search region, and detecting a right pupil candidate point and left pupil candidate point of said object person out of pixels of a predetermined circular edge;
a reference data generation measure for rotating said standard image so that a line segment connecting said right pupil candidate point and said left pupil candidate point becomes horizontal within said standard image, then generating a normalization image with making it a standard a distance of said right pupil candidate point and said left pupil candidate point, and making reference data for evaluating advisability of said face region from the normalization image; and
a face region evaluation measure for obtaining a degree of approximation between said reference data and standard data prepared in advance and evaluating the advisability of said face region, based on the obtained degree of approximation. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for identifying a face of an object person, based on an image of said object person taken by a camera, the method comprising:
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a face region expectation step of expecting the face region of said object person in said image, based on distance information representing a distance from said camera to said object person, profile information and flesh-color-region information of said object person generated from said image;
a pupil-candidate-point detection step of generating a standard image with converting said face region to an image of a standard size, based on said distance information, setting a search region with making it a standard a center of gravity of said face region in the standard image, searching a circular edge for each pixel included in the search region, and detecting a right pupil candidate point and left pupil candidate point of said object person out of pixels of a predetermined circular edge;
a reference data generation step of rotating said standard image so that a line segment connecting said right pupil candidate point and said left pupil candidate point becomes horizontal within said standard image, then generating a normalization image with making it a standard a distance of said right pupil candidate point and said left pupil candidate point, and making reference data for evaluating advisability of said face region from the normalization image;
a face region evaluation step of obtaining a degree of approximation between said reference data and standard data prepared in advance and evaluating the advisability of said face region, based on the obtained degree of approximation;
a face data making step of making face data of said object person from said normalization image if said face region is judged adequate in said face region evaluation step; and
a face identification step of comparing and collating the face data made in said face data making step with face data registered in a memory measure.
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9. A face identification program, wherein in order to identify a face of an object person, based on an image of said object person taken by a camera, a computer is made to function as:
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a face region expectation measure for expecting a face region of said object person in said image, based on distance information representing a distance from said camera to said object person, and profile information of and flesh-color-region information of said object person generated from said image;
a pupil-candidate-point detection measure for generating a standard image with converting said face region to an image of a standard size, based on said distance information, setting a search region with making it a standard a center of gravity of said face region in the standard image, searching a circular edge for each pixel included in the search region, and detecting a right pupil candidate point and left pupil candidate point of said object person out of pixels of a predetermined circular edge;
a reference data generation measure for rotating said standard image so that a line segment connecting said right pupil candidate point and said left pupil candidate point becomes horizontal within said standard image, then generating a normalization image with making it a standard a distance of said right pupil candidate point and said left pupil candidate point, and making reference data for evaluating advisability of said face region from the normalization image;
a face region evaluation measure for obtaining a degree of approximation between said reference data and standard data prepared in advance and expecting the advisability of said face region, based on the obtained degree of approximation;
a face data making step of making face data of said object person from said normalization image if said face region is judged adequate in said face region evaluation step; and
a face identification measure for comparing and collating the face data made in said face data making measure with face data registered in a memory measure.
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Specification