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, the method comprising the steps of:
- (a) generating an entire Fourier feature vector for an entire face area of a normalized face image using first and second normalized vectors, and generating a central Fourier feature vector for a central face area of the normalized face image using third and fourth normalized vectors; and
(b) generating an entire intensity feature vector for the entire face area and a local intensity feature vector for a predetermined number of face component-wise areas, generating an entire composite feature vector by coupling the first and second normalized vectors and the entire intensity feature, and generating a central composite feature vector by coupling the third and fourth normalized vectors 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, the method comprising the steps of:
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(a) generating an entire Fourier feature vector for an entire face area of a normalized face image using first and second normalized vectors, and generating a central Fourier feature vector for a central face area of the normalized face image using third and fourth normalized vectors; and
(b) generating an entire intensity feature vector for the entire face area and a local intensity feature vector for a predetermined number of face component-wise areas, generating an entire composite feature vector by coupling the first and second normalized vectors and the entire intensity feature, and generating a central composite feature vector by coupling the third and fourth normalized vectors 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, the method comprising the steps of:
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(a) generating an entire Fourier feature vector for an entire face area of a normalized face image and a central Fourier feature vector for a central face area of the normalized face image;
(b) generating an entire intensity feature vector for the entire face area and a local intensity feature vector for a predetermined number of face component-wise areas;
(c) generating an entire composite feature vector by coupling the entire Fourier feature vector and the entire intensity feature vector into a single coupled vector and projecting the coupled vector onto a first linear discriminant space; and
(d) generating a central composite feature vector by coupling the central Fourier feature vector and the local intensity feature vector into a single coupled vector and projecting the coupled vector onto a second linear discriminant space. - 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 using first and second normalized vectors, and generates a central Fourier feature vector for a central face area of the normalized face image using third and fourth normalized vectors; and
a second unit which generates an entire intensity feature vector for the entire face image and a local intensity feature vector for a predetermined number of face component-wise areas, generates an entire composite feature vector by coupling the first and second normalized vectors and the entire intensity feature vector, and generates a central composite feature vector by coupling the third and fourth normalized vectors and the local intensity feature vector. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification