Use of an intrinsic image in face recognition
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06K-009/00
G06K-009/34
출원번호
US-0459238
(2009-06-29)
등록번호
US-8194975
(2012-06-05)
발명자
/ 주소
Smith, Casey Arthur
출원인 / 주소
Tandent Vision Science, Inc.
대리인 / 주소
Davidson, Davidson & Kappel, LLC
인용정보
피인용 횟수 :
9인용 특허 :
15
초록▼
In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying information in
In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying information in the image file relevant to a logical deduction regarding material and illumination aspects of an image and selected from information relevant to spatio-spectral aspects of an image and constituents of color; defining a constraint as a function of the information; and utilizing the constraint in an image segregation operation.
대표청구항▼
1. An automated, computerized method for processing an image, comprising the steps of: providing an image file depicting the image, in a computer memory;identifying information in the image file relevant to a logical deduction regarding material and illumination aspects of the image, the information
1. An automated, computerized method for processing an image, comprising the steps of: providing an image file depicting the image, in a computer memory;identifying information in the image file relevant to a logical deduction regarding material and illumination aspects of the image, the information being based upon spatio-spectral aspects of the image and constituents of color depicted in the image;defining a constraint as a function of the information, wherein the constraint comprises a constraint based upon a tone mapping of the image expressed by log t_R +log t_G +log t_B =V, where t_R is an average for a red channel of material for pixels of a token t, t_G is an average for a green channel of material for pixels of the token t, t_B is an average for material for a blue channel of pixels of the token t, and where V is an average for a calculated intensity value for the token t, derived from the tone mapping; andutilizing the constraint in an image segregation operation. 2. The method of claim 1 wherein the spatio-spectral aspects of the image comprises spatio-spectral operators. 3. The method of claim 1 wherein the constituents of color include intensity and chromaticity. 4. The method of claim 1 wherein the constraint is arranged to preserve shading contributing to an appearance of curvature of features depicted in the image, and to reduce shadowing effects. 5. The method of claim 1 wherein the constraint includes a second constraint based upon a chromaticity aspect of color depicted in the image. 6. An automated, computerized method for processing an image, comprising the steps of: providing an image file depicting the image, in a computer memory;organizing information for the image file relevant to a logical deduction regarding material and illumination aspects of the image, the information being based upon spatio-spectral aspects of the image and constituents of color depicted in the image, in a matrix equation expressed by: [A] [x]=[b], wherein [A] expresses values determined by a constraining relationship imposed upon the information relevant to a logical deduction regarding material and illumination aspects of the image, [b] expresses information obtained from the image file, in the computer memory, and [x] expresses an unknown material/illumination component of the image; andutilizing the matrix equation in an image segregation operation. 7. The method of claim 6 wherein the spatio-spectral aspects of the image comprises spatio-spectral operators. 8. The method of claim 6 wherein the constraining relationship is arranged to preserve shading contributing to an appearance of curvature of features depicted in the image, and to reduce shadowing effects. 9. A computer system which comprises: a CPU; anda memory storing an image file defining an image;the CPU being arranged and configured to execute a routine to identify information in the image file relevant to a logical deduction regarding material and illumination aspects of the image, the information being based upon spatio-spectral aspects of the image and constituents of color depicted in the image, define a constraint as a function of the information, wherein the constraint comprises a constraint based upon a tone mapping of the image expressed by log t_R +log t_G +log t_B =V, where t_R is an average for a red channel of material for pixels of a token t, t_G is an average for a green channel of material for pixels of the token t, t_B is an average for material for a blue channel of pixels of the token t, and where V is an average for a calculated intensity value for the token t, derived from the tone mapping, and utilize the constraint in an image segregation operation. 10. A computer system which comprises: a CPU; anda memory storing an image file defining an image;the CPU being arranged and configured to execute a routine to organize information for the image file relevant to a logical deduction regarding material and illumination aspects of the image, the information being based upon spatio-spectral aspects of the image and constituents of color depicted in the image, in a matrix equation expressed by: [A] [x]=[b], wherein [A] expresses values determined by a constraining relationship imposed upon the information relevant to a logical deduction regarding material and illumination aspects of the image, [b] expresses information obtained from the image file, in the computer memory, and [x] expresses an unknown material/illumination component of the image and utilize the matrix equation in an image segregation operation. 11. A computer program product, disposed on a computer readable media, the product including computer executable process steps operable to control a computer to: provide an image file depicting an image, in a computer memory;identify information in the image file relevant to a logical deduction regarding material and illumination aspects of the image, the information being based upon spatio-spectral aspects of the image and constituents of color depicted in the image;define a constraint as a function of the information, wherein the constraint comprises a constraint based upon a tone mapping of the image expressed by log t_R +log t_G +log t_B =V, where t_R is an average for a red channel of material for pixels of a token t, t_G is an average for a green channel of material for pixels of the token t, t_B is an average for material for a blue channel of pixels of the token t, and where V is an average for a calculated intensity value for the token t, derived from the tone mapping; andutilize the constraint in an image segregation operation. 12. The computer program product of claim 11 wherein the spatio-spectral aspects of the image comprises spatio-spectral operators. 13. The computer program product of claim 11 wherein the constituents of color include intensity and chromaticity. 14. The computer program product of claim 11 wherein the constraint is arranged to preserve shading contributing to an appearance of curvature of features depicted in the image, and to reduce shadowing effects. 15. The computer program product of claim 11 wherein the constraint includes a second constraint based upon a chromaticity aspect of color depicted in the image. 16. A computer program product, disposed on a computer readable media, the product including computer executable process steps operable to control a computer to: provide an image file depicting an image, in a computer memory;organize information for the image file relevant to a logical deduction regarding material and illumination aspects of the image, the information being based upon spatio-spectral aspects of the image and constituents of color depicted in the image, in a matrix equation expressed by: [A] [x]=[b], wherein [A] expresses values determined by a constraining relationship imposed upon the information relevant to a logical deduction regarding material and illumination aspects of the image, [b] expresses information obtained from the image file, in the computer memory, and [x] expresses an unknown material/illumination component of the image; andutilize the matrix equation in an image segregation operation. 17. The computer program product of claim 16 wherein the spatio-spectral aspects of the image comprises spatio-spectral operators. 18. The compute program product of claim 16 wherein the constraining relationship is arranged to preserve shading contributing to an appearance of curvature of features depicted in the image, and to reduce shadowing effects. 19. The computer program product of claim 18 wherein the constraining relationship comprises a constraint based upon a tone mapping of the image. 20. The computer program product of claim 19 wherein the constraint based upon a tone mapping of the image is expressed by log t_R +log t_G +log t_B =V, where t_R is an average for a red channel of material for pixels of a token t, t_G is an average for a green channel of material for pixels of the token t, t_B is an average for material for a blue channel of pixels of the token t, and where V is an average for a calculated intensity value for the token t, derived from the tone mapping. 21. The computer program product of claim 20 wherein the constraint includes a second constraint based upon a chromaticity aspect of color depicted in the image.
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이 특허에 인용된 특허 (15)
Maxwell, Bruce Allen; Smith, Casey Arthur; Tolliver, David Allen; Bagnell, James Andrew; Stein, Andrew Neil; Kwak, Iljung Samuel; Dana, Kristin Jean; Bushell, Steven Joseph; Rodgers, Jr., Timothy King; Nabbe, Bartholomeus Christianus Leonardus; Diebel, Milan; Friedhoff, Richard Mark, Constraint generation for use in image segregation.
Maxwell, Bruce Allen; Smith, Casey Arthur; Tolliver, David Allen; Bagnell, James Andrew; Stein, Andrew Neil; Kwak, Iljung Samuel; Dana, Kristin Jean; Bushell, Steven Joseph; Rodgers, Jr., Timothy King; Nabbe, Bartholomeus Christianus Leonardus; Diebel, Milan; Friedhoff, Richard Mark, Image segregation system architecture.
Park, Du-Sik; Kim, Chang-yeong, Method for detecting the illumination color of a color image from an average of chromaticity coordinates generated from linear approximations of color transition bands.
Friedhoff, Richard Mark; Smith, Casey Arthur; Maxwell, Bruce Allen; Alldrin, Neil; Bushell, Steven Joseph; Rodgers, Jr., Timothy King, Method, system and computer program product for image modification and manipulation of a scene.
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