Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
2006-09-26
2006-09-26
Alavi, Amir (Department: 2621)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
C382S300000
Reexamination Certificate
active
07113654
ABSTRACT:
A computationally efficient modeling system for imagery scales both the original image and corresponding principal component tiles in the same proportion to be able to extract scaled principal components. The system includes recovery of feature weights for the image model by extracting the weights from the reduced size principal component tiles. The use of the reduced size tiles to derive weights dramatically reduces computer overhead both in the generation of the files and in the generation of the weights, and is made possible by the fact that the weights from the scaled down tiles are nearly equal to the weights of the tiles associated with the full size image. The subject system thus reduces computation and the number of bits required to represent features by first scaling the image and then tiling the image in the same proportion. In one embodiment, the scaled down tiles are used as training exemplars used to generate the principal components.
REFERENCES:
patent: 5377305 (1994-12-01), Russo
patent: 5398121 (1995-03-01), Kowalewski et al.
patent: 5488422 (1996-01-01), Faroudja et al.
patent: 5500744 (1996-03-01), Sabath
patent: 5703965 (1997-12-01), Fu et al.
patent: 5838840 (1998-11-01), King et al.
patent: 6111988 (2000-08-01), Horowitz et al.
patent: 6137914 (2000-10-01), Ligtenberg et al.
patent: 6157414 (2000-12-01), Sakamoto
patent: 6229926 (2001-05-01), Chui et al.
patent: 6249614 (2001-06-01), Kolesnik et al.
patent: 6266452 (2001-07-01), McGuire
patent: 6292591 (2001-09-01), Kondo
patent: 6298162 (2001-10-01), Sutha et al.
patent: 6343154 (2002-01-01), Bottou et al.
patent: 6343155 (2002-01-01), Chui et al.
patent: 6347157 (2002-02-01), Chui
patent: 6510254 (2003-01-01), Nakami et al.
Leonard E. Russo, “Prospects For Adaptive Principal Component Image Compression”; ARL Federated Laboratory 3rdAnnual Symposium, Feb. 2-4, 1999; College Park, MD.
Alavi Amir
BAE Systems Information and Electronic Systems Integration Inc.
Long Daniel J.
Tendler Robert K.
LandOfFree
Computationally efficient modeling of imagery using scaled,... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Computationally efficient modeling of imagery using scaled,..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computationally efficient modeling of imagery using scaled,... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3533402