Image analysis – Pattern recognition – Template matching
Reexamination Certificate
2007-06-19
2007-06-19
Ahmed, Samir (Department: 2624)
Image analysis
Pattern recognition
Template matching
C382S218000, C382S280000
Reexamination Certificate
active
11105761
ABSTRACT:
A system and method for selecting a best match of a received input signal from a set of candidate signals, wherein two or more of the candidate signals are uncorrelated. In a preprocessing phase a signal transform (UST) is determined from the candidate signals. The UST converts each candidate signal to a generalized frequency domain. The UST is applied at a generalized frequency to each candidate signal to calculate corresponding generalized frequency component values (GFCVs) for each candidate signal. At runtime, the input signal of interest is received, and the UST is applied at the generalized frequency to the input signal of interest to calculate a corresponding GFCV. The best match is determined between the GFCV of the input signal of interest and the GFCVs of each of the set of candidate signals. Finally, information indicating the best match candidate signal from the set of candidate signals is output.
REFERENCES:
patent: 5109431 (1992-04-01), Nishiya et al.
patent: 5216750 (1993-06-01), Smith
patent: 5619596 (1997-04-01), Iwaki et al.
patent: 5915034 (1999-06-01), Nakajima et al.
patent: 6137896 (2000-10-01), Chang et al.
patent: 6240372 (2001-05-01), Gross et al.
patent: 6249594 (2001-06-01), Hibbard
patent: 6404920 (2002-06-01), Hsu
patent: 6963667 (2005-11-01), Rajagopal et al.
Michihiro Uenohara et al. “Use of Fourier and Karhunen-Loeve Decomposition for Fast Pattern Matching with a Large Set of Templates” IEEE vol. 19, No. 8, Aug. 1997, pp. 891-898.
Robert L. Cook, “Stochastic Sampling in Computer Graphics” ACM vol. 5, No. 1, Jan. 1986, pp. 51-72.
Goodrich et al. “Short Papers” IEEE vol. 21, No. 4, Apr. 1999, pp. 371-379.
Cantoni et al. “2-D Object Recognition by Multiscale Tree Matching” Pattern Recognition, vol. 31, No. 10, 1998, pp. 1443-1454.
Nair et al. “Image Processing and Low Discrepancy Sequences” SPIE vol. 3807, Jul. 1999, pp. 102-111.
Dinesh Nair and Lothar Wenzel, Application of Low Discrepancy Sequences and Classical Control Strategies for Image Registration International Society of Information Fusion, Jul. 1999, pp. 706-714.
Terras, Audrey,Fourier Analysis on Finite Groups and Applications, “Chapter 15: Fourier Transform and Representations of Finite Groups,” London Mathematical Society Student Texts 43, 1999, pp. 240-266.
Nair Dinesh
Rajagopal Ram
Schmidt Darren
Wenzel Lothar
Ahmed Samir
Hood Jeffrey C.
Meyertons Hood Kivlin Kowert & Goetzel P.C.
National Instuments Corporation
Williams Mark S.
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