Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2005-01-10
2008-03-04
Desire, Gregory M (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S199000, C382S203000, C382S209000, C706S020000, C706S025000
Reexamination Certificate
active
07340089
ABSTRACT:
A geometric pattern matching method to locate instances of a template image in a target image using a plurality of models with different feature combinations. A learning phase involves learning geometric information about the template image and creating a model for each of a plurality of different respective parent features. Each model comprises a relationship tree from the respective parent feature to one or more other child features, and hence each model may have different feature combinations. In a matching phase, the method may examine a plurality of different models to determine matches in the target image being analyzed. The matching phase may select different models dynamically based on prior matching results.
REFERENCES:
patent: 5995652 (1999-11-01), Chiu et al.
patent: 6018728 (2000-01-01), Spence et al.
patent: 6175644 (2001-01-01), Scola et al.
patent: 6324532 (2001-11-01), Spence et al.
patent: 6381366 (2002-04-01), Taycher et al.
patent: 6571006 (2003-05-01), Montillo et al.
patent: 6650779 (2003-11-01), Vachtesvanos et al.
patent: 6678394 (2004-01-01), Nichani
patent: 6687402 (2004-02-01), Taycher et al.
patent: 6798925 (2004-09-01), Wagman
patent: 6807305 (2004-10-01), Rajagopal et al.
patent: 6836567 (2004-12-01), Silver et al.
patent: 6915010 (2005-07-01), Neubauer et al.
patent: 6941016 (2005-09-01), Wagman et al.
patent: 6944331 (2005-09-01), Schmidt et al.
patent: 6944341 (2005-09-01), Loce et al.
patent: 7158677 (2007-01-01), Wenzel et al.
patent: 7162073 (2007-01-01), Akgul et al.
patent: 2002/0037105 (2002-03-01), Michael
patent: 2002/0054694 (2002-05-01), Vachtsevanos et al.
patent: 2003/0174891 (2003-09-01), Wenzel et al.
patent: 2003/0194133 (2003-10-01), Wenzel et al.
patent: 2003/0194135 (2003-10-01), Wenzel
patent: 2003/0198388 (2003-10-01), Wenzel et al.
patent: 2004/0247181 (2004-12-01), Wenzel et al.
patent: 2006/0039601 (2006-02-01), Nair et al.
patent: 2007/0116365 (2007-05-01), Kloer
Arthur R. Pope and David G. Lowe; “Learning Object Recognition Models from Images”; Fourth International Conference on Computer Vision; May 1993; pp. 296-301.
Fisher Matthew S.
Kumar Satish V.
Nair Dinesh
Ramamoorthy Subramanian
Smyth Bruce
Desire Gregory M
Hood Jeffrey C.
Meyertons Hood Kivlin Kowert & Goetzel P.C.
National Instruments Corporation
LandOfFree
Geometric pattern matching using dynamic feature combinations does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Geometric pattern matching using dynamic feature combinations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Geometric pattern matching using dynamic feature combinations will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3964682