Method and apparatus for extracting feature vector used for face recognition and retrieval
First Claim
1. A method of extracting feature vectors for face recognition and retrieval, comprising(a) generating an entire Fourier feature vector for an entire face area of a normalized face image, and generating a central Fourier feature vector for a central face area of the normalized face image;
- and(b) generating an entire intensity feature vector for the entire face area, generating an entire composite feature vector using a first vector generated from a Fourier transformation of the entire face area and the entire intensity feature vector, generating a local intensity feature vector for a predetermined number of face component-wise areas, and generating a central composite feature vector using a second vector generated from the Fourier transformation of the central face area and the local intensity feature vectors.
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Abstract
A method and apparatus for extracting feature vectors for face recognition and retrieval are provided. An entire Fourier feature vector is generated for an entire face area of a normalized face image using first and second normalized vectors, and a central Fourier feature vector is generated for a central face area of the normalized face image using third and fourth normalized vectors. An entire intensity feature vector is generated for the entire face area, and a local intensity feature vector is generated for a predetermined number of face component-wise areas. An entire composite feature vector is generated by coupling the first and second normalized vectors and the entire intensity feature, and a central composite feature vector is generated by coupling the third and fourth normalized vectors and the local intensity feature vectors.
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Citations
21 Claims
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1. A method of extracting feature vectors for face recognition and retrieval, comprising
(a) generating an entire Fourier feature vector for an entire face area of a normalized face image, and generating a central Fourier feature vector for a central face area of the normalized face image; - and
(b) generating an entire intensity feature vector for the entire face area, generating an entire composite feature vector using a first vector generated from a Fourier transformation of the entire face area and the entire intensity feature vector, generating a local intensity feature vector for a predetermined number of face component-wise areas, and generating a central composite feature vector using a second vector generated from the Fourier transformation of the central face area and the local intensity feature vectors. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13)
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12. A method of extracting feature vectors for face recognition and retrieval, comprising
(a) generating an entire Fourier feature based on a cascaded LDA of Fourier characteristics of an entire face area of a normalized face image and generating a central Fourier feature based on a cascaded LDA of Fourier characteristics of a central face area of the normalized face image; -
(b) generating an entire intensity vector for the entire face area, generating an entire composite feature based on a cascaded LDA of a first vector generated from a Fourier transformation of the central face area and the entire intensity vector, generating a subregion intensity vector for a predetermined number of face component-wise areas, and generating a subregion composite feature based on a cascaded LDA of a second vector generated from the Fourier transformation of the central face area and the subregion intensity vector; and (c) outputting either the entire Fourier feature and the central Fourier feature or the composite feature and the subregion composite feature for the face recognition and retrieval. - View Dependent Claims (14)
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15. An apparatus for extracting feature vectors for face recognition and retrieval, the apparatus comprising:
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a first unit which generates an entire Fourier feature vector for an entire face area of a normalized face image, and generates a central Fourier feature vector for a central face area of the normalized face image; and a second unit which generates an entire intensity feature vector for the entire face area, generates an entire composite feature vector using a first vector generated from a Fourier transformation of the entire face area and the entire intensity feature vector, generates a local intensity feature vector for a predetermined number of face component-wise areas, and generates a central composite feature vector using a second vector generated from a Fourier transformation of the central face area and the local intensity feature vector. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification