Face detection device, face pose detection device, partial image extraction device, and methods for said devices
First Claim
1. A face detection device comprising:
- a face learning dictionary for holding learned information for identification between a facial image and a non-facial image;
an image input means, which inputs a subject image;
an edge image extraction means, which extracts an edge image from said subject image;
a partial image extraction means, based on said edge image, which extracts partial images that are candidates to contain facial images from said subject image;
a face/non-face identification means, which references said learning dictionary and identifies whether or not each extracted partial image contains a facial image.
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Abstract
A face detection device includes a face learning dictionary, which holds learned information for identification between a facial image and a non-facial image. An image input unit inputs a subject image. An edge image extraction unit extracts an edge image from the subject image. A partial image extraction unit, based on the edge image, extracts partial images that are candidates to contain facial images from the subject image. A face/non-face identification unit references the learning dictionary to identify whether or not each extracted partial image contains a facial image. Face detection of high precision, which reflects learned results, is performed.
82 Citations
23 Claims
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1. A face detection device comprising:
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a face learning dictionary for holding learned information for identification between a facial image and a non-facial image;
an image input means, which inputs a subject image;
an edge image extraction means, which extracts an edge image from said subject image;
a partial image extraction means, based on said edge image, which extracts partial images that are candidates to contain facial images from said subject image;
a face/non-face identification means, which references said learning dictionary and identifies whether or not each extracted partial image contains a facial image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A face pose detection device comprising:
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a face learning dictionary, which holds learned information for identification between a facial image and a non-facial image;
an image input means, which inputs a subject image;
an edge image extraction means, which extracts an edge image from said subject image;
a partial image extraction means, based on said edge image, which extracts partial images that are candidates to contain facial images from said subject image;
a face pose learning dictionary, which holds learned information on a plurality of predefined face poses according to each face pose;
an evaluation function value calculation means, which calculates evaluation function values for all predefined face poses based on said learned information on said face poses and said extracted partial images; and
a face pose calculation means, based on said plurality of evaluation function values that have been calculated, which determines said face pose, including a face pose that is intermediate among said predefined face poses. - View Dependent Claims (11, 14, 15, 16, 17, 18, 19, 20, 21)
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12. A partial image extraction device comprising:
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an image input means, which inputs a subject image;
an edge image extraction means, which extracts an edge image from said subject image;
a partial image extraction means, based on said edge image, which extracts partial images that are considered to contain facial images from said subject image; and
said partial image extraction means determines a contour that joins upper end parts of said edge image and extracts partial images from said subject image based on peaks and valleys of said contour.
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13. A face detection method comprising:
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inputting a subject image;
extracting an edge image is extracted from said subject image;
based on said edge image, extracting partial images from said subject image that are candidates to contain facial images; and
referencing a learning dictionary that holds learned information for identification between a facial image and a non-facial image to determine whether or not each extracted partial image contains a facial image.
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22. A face pose detection method comprising:
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inputting a subject image;
extracting an edge image is extracted from said subject image; and
extracting partial images from said edge image that are candidates to contain facial images;
calculating an evaluation function value, which includes referencing a face pose learning dictionary, which holds learned information on a plurality of predefined face poses according to each face pose;
the step of calculating includes calculating said evaluation function values for all predefined face poses based on said learned information on said face poses and said extracted partial images; and
calculating a face pose, based on said plurality of evaluation function values that have been calculated, said face pose, including determining a face pose that is intermediate among said predefined face poses. - View Dependent Claims (23)
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Specification