http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2002516440-A

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-00
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-7515
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-68
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-64
filingDate 1999-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2002-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber JP-2002516440-A
titleOfInvention Image recognition and correlation system
abstract (57) Summary To reduce the number of pixels used in correlation, a system for digital image recognition that combines sparse correlation and image pyramidization covers all pixels in the reference image template (110). This enables effective recognition of the reference image template (100) without performing a spatial correlation. By correlating the reference image template (100) with the search image scene (102) to be searched, the optimal sparse pixel set (112) is selected from the pixels of the reference image template (100). Such a sparse pixel set contains the optimal pixels for defining the correlation sensitive features of the reference image template (100). By terminating the accumulation of sparse pixels at the optimal point, performance is maximized without compromising recognition accuracy. The resulting optimal sparse pixel set is then correlated to pixels in the search image scene through a series of transformations to find a match of the reference image template (100) in the search image scene (102).
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2011036851-A1
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-5712925-B2
priorityDate 1998-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 22.