Image analysis – Applications – Personnel identification
Reexamination Certificate
2011-06-28
2011-06-28
Werner, Brian P (Department: 2624)
Image analysis
Applications
Personnel identification
C382S167000, C382S274000, C382S275000, C382S283000
Reexamination Certificate
active
07970181
ABSTRACT:
Certain embodiments of the present invention provide methods and systems for correcting new images using example image sets, automatically or with user interaction, to produce corrected images in a manner that can be adapted to individual preferences, different image object orientations, image illumination conditions, and/or human and non-human features. In one embodiment, example image sets are provided that include information. The information can include a corrected example image, an original example image, and an example image mask. The example image mask includes information regarding the pixels corrected in the corrected example image. A new image is received that includes a defective area that needs to be corrected. The new image can be corrected using the information associated with the example image set.
REFERENCES:
patent: 2004/0141657 (2004-07-01), Jarman
patent: 2004/0160517 (2004-08-01), Iida
patent: 2004/0165787 (2004-08-01), Perez et al.
patent: 2004/0233301 (2004-11-01), Nakata et al.
patent: 2005/0280717 (2005-12-01), Sugimoto
patent: 2006/0082847 (2006-04-01), Sugimoto
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patent: 2007/0273769 (2007-11-01), Takahashi
patent: 2006180160 (2006-07-01), None
English Abstract of JP2006180160A, Oda et al. Jul. 6, 2006, 2 pages.
William T. Freeman, et al., “Example-Based Super-Resolution,” Image-Based Modeling, Rendering and Lighting, Mar./Apr. 2002, pp. 56-65.
Aaron Hertzmann, et al., “Image Analogies,” Microsoft Research, University of Washington. Siggraph 2001 paper, 14 pages.
Adobe Systems Incorporated
Kilpatrick Townsend & Stockton LLP
Werner Brian P
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