Image analysis – Image enhancement or restoration – Intensity – brightness – contrast – or shading correction
Reexamination Certificate
2005-11-01
2010-12-28
Mehta, Bhavesh M (Department: 2624)
Image analysis
Image enhancement or restoration
Intensity, brightness, contrast, or shading correction
C382S118000, C382S154000, C382S285000, C345S418000, C345S419000
Reexamination Certificate
active
07860340
ABSTRACT:
A 3D shape estimation system has a storage device, a relative shape analysis module, a feature point location search module and an absolute shape analysis module. The storage device stores first and second learning data which represent illumination bases and 3D shapes of objects, respectively. The relative shape analysis module calculates an “illumination basis” of an object based on a 2D image of the object and the first learning data, calculates a “relative shape function” that is partial differential of a “shape function” indicating a 3D shape of the object from the illumination basis, and outputs a relative shape data indicating the relative shape function. The feature point location search module extracts a plurality of feature points from the input 2D face image based on the 2D image and the relative shape data, and outputs a feature point location data indicating locations of the feature points. The absolute shape analysis module receives the relative shape data and the feature point location data, converts the relative shape function into the shape function by referring to the second learning data and the locations of the feature points, and outputs a 3D absolute shape data indicating the shape function.
REFERENCES:
patent: 2001/0033685 (2001-10-01), Ishiyama
patent: 2005/0175234 (2005-08-01), Sakamoto
patent: 2006/0280342 (2006-12-01), Lee et al.
patent: 2006/0280343 (2006-12-01), Lee et al.
patent: 2007/0009135 (2007-01-01), Ishiyama
patent: 5-266173 (1993-10-01), None
patent: 11-242745 (1999-09-01), None
patent: 2001-084362 (2001-03-01), None
patent: 2003-228702 (2003-08-01), None
patent: 2004-005509 (2004-01-01), None
patent: 2004-054947 (2004-02-01), None
patent: 2004-086929 (2004-03-01), None
patent: WO-02/07095 (2002-01-01), None
Rui Ishiyama, Shizuo Sakamoto, “Geodesic Illumination Basis: Compensating for Illumination Variations in any Pose for Face Recognition,” Pattern Recognition, International Conference on, p. 40297, 16th International Conference on Pattern Recognition (ICPR'02)—vol. 4, 2002, p. 297-301.
Peter Belhumeur, David Kriegman, “What Is the Set of Images of an Object under All Possible Illumination Conditions?”, 1998, International Journal of Computer Vision, vol. 28 Issue 3, ,p. 1-16.
Saratendu Sethi, Stan Sclaroff, “Combinations of Deformable Shape Prototypes”, Jul. 1999, Boston University Computer Science Technical Report No. 99-007, p. 1-16.
Gregory D. Hager, Peter N. Belhumeur, “Efficient Region Tracking With Parametric Models of Geometry and Illumination”, Oct. 1998, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 10, p. 1025-1039.
Thomas Vetter, et al.; “A Morphable Model for The Synthesis of 3D Faces”; ACM Conf. SIGGRAPH 99, pp. 187-194, 1999.
Amon Shashua, Tammy Riklin-Raviv; “The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations”; IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, No. 2, Feb. 2001, pp. 129-139.
Imaoka Hitoshi
Marugame Atsushi
Dickstein & Shapiro LLP
Mehta Bhavesh M
NEC Corporation
Thirugnanam Gandhi
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