Image analysis – Image transformation or preprocessing
Reexamination Certificate
2006-03-28
2006-03-28
Patel, Kanjishai (Department: 2625)
Image analysis
Image transformation or preprocessing
C345S589000
Reexamination Certificate
active
07020347
ABSTRACT:
A system and method, called Image-Based Surface Detail Transfer, to transfer geometric details from one surface of an object in an image to another with simple 2D image operations. The basic observation is that, without knowing its 3D geometry, geometric details (local deformations) can be extracted from a single image of an object in a way independent of its surface reflectance, and furthermore, these geometric details can be transferred to modify the appearance of other objects directly in images. Examples are shown including surface detail transfer between real objects, as well as between real and synthesized objects.
REFERENCES:
patent: 3949741 (1976-04-01), Hofmann
patent: 4276570 (1981-06-01), Burson et al.
patent: 6252974 (2001-06-01), Martens et al.
T. Beier and S. Neely. Feature-based image metamorphosis. InComputer Graphics, pp. 35-42. Siggraph, Jul. 1992.
Boissieux, G. Kiss, N.m. Thalman and P. Karla. Simulation of Skin Aging and Wrinkles with Cosmetic Insights. InComputer Animation and Simulation 2000, 2000.
J. Blinn, Models of light reflection for computer synthesized pictures. In Computer Graphics, pp. 192-198, Sig-Graph, Jul. 1977.
C. Choi, Age Change for Predicting Future Faces. InIEEE International Fuzzy Systems Conference Proceedings, pp. 1603-1608, 1999.
P. E. Debevec. Rendering synthetic objects into real sciences: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. InComputer Graphics, Annual Conference Series, pp. 189-198.
P. E. Debevec, T. Hawkins, C. Tchou, H.-P. Duiker,W. Sarokin, and M. Sagar Acquiring the reflectance field of a human face. InComputer Graphics, Annual Conference Series, pp. 145-156. Siggraph, Jul. 2000.
R. Epstein, A. Yuille, and P. Belhumeur. Learning object representations from lighting variations. InECCV 96 International Workshop, pp. 179-199, 1996.
G. Healey and T. Binford. Local shape from specularity.Computer Vision Graphics and Image Processing, pp. 62-86, Apr. 1988.
A. Lanitis, C. Taylor, and T.Cootes. Modeling the process of aging in face images. In IEEE Proceedings of the 7th International Conference on Computer Vision, pp. 131-136.
P. Litwinowicz and L. Williams. Animating images with drawings. InComputer Graphics, pp. 235-242. Siggraph, Aug. 1990.
Z. Liu, Y. Shan, and Z. Zhang. Expressive expression mapping with ratio images. InComputer Graphics, Annual Conference Series, pp. 271-276. Siggraph, Aug. 2001.
S. R. Marschner and D. P. Greenberg. Inverse lighting for photography. InIST/SID Fifth Color Imaging Conference, Nov. 1997.
S. R. Marschner, B. Guenter, and S. Raghupathy. Modeling and rendering for realistic facial animation. InRendering Techniques, pp. 231-242. Springer Wien NewYork, 2000.
T. Riklin-Raviv and A. Shashua. The quotient image: Class based rerendering and recognition with varying illumination. InIEEE Conference on Computer Vision and Pattern Recognition, pp. 566-571, Jun. 1999.
H. Rushmeier, G. Taubin, and A. Gueziec. Applying shape from lighting variation to bump map capture. InEurographics Workshop on Rendering, pp. 35-44, 1997.
Y. Wu, P. Kalra, and N.M. Thalman. Physically-based wrinkle simulation & skin rendering In Eurographics Workshop on Computer Animation and Simulation, pp. 69-79, 1997.
Liu Zicheng
Shan Ying
Zhang Zhengyou
Lyon Katrina A.
Lyon & Harr LLP
Microsoft Corp.
Patel Kanjishai
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