http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106326927-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-211
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-443
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46
filingDate 2016-08-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2019-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2019-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-106326927-B
titleOfInvention A new category detection method for shoe prints
abstract The present invention provides a method for detecting a new category of shoe prints, comprising: extracting features of a training image and the image to be detected, wherein the training image is a shoe print image of a known category, and is used to determine whether the image to be detected is a new category of shoes print image; extract the features of the training image and the image to be detected; calculate the similarity matrix between the training images and the similarity matrix between the training image and the image to be detected according to the features; Determine the discriminant function according to the similarity matrix between the training images; determine the training image map and the to-be-detected image map corresponding to the training image and the to-be-detected image in the null space according to the discriminant function; calculate the to-be-detected image map Euclidean distance mapped with the training image; determining whether the image to be detected is a new category according to the Euclidean distance; detecting a shoe print image according to the new category. The present invention realizes effective management of shoe prints, and realizes more accurate detection of new types of shoe prints.
priorityDate 2016-08-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572

Total number of triples: 17.