Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f9f8730edf22dbb55b4dccd76067b145 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9019c0ce5cb7b82c85e121f6cac86dce http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4b51ec8eb152585847d0a4566c753854 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30128 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30181 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30184 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-4661 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-64 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-003 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00201 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-60 |
filingDate |
2012-07-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fa897ba2fcffc9523b25eb1fb7ee5a9a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f6e1a09ba3f37f5be07904d47e973ca7 |
publicationDate |
2015-02-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2015043819-A1 |
titleOfInvention |
Feature extraction method, object classification method, object identification method, feature extraction device, object classification device, object identification device, feature extracton/object classification/object identification program, and recording medium on which the program is recorded |
abstract |
Provided are: a feature extraction method that is a method of extracting a feature that represents a characteristic of a subject, said feature being extracted from an image that has imaged the subject, said feature being extracted without relation to the shape of said subject; and methods that use the extracted feature to classify and identify the subject. The feature extraction method extracts the feature from the image of the subject, said subject having been imaged by an imaging means. From the image that has imaged the subject, said feature extraction method extracts the feature by means of containing: a step in which a filter bank is created from the image; a step in which a maximum brightness image is created from the filter bank; a step in which a circular image region of the maximum brightness image is set, and the center (Cc) and the radius (Rc) of the circular image region are set; a step in which a pixel of the maximum brightness image is projected into a three-dimensional space having as the axes thereof, (a) the ratio of the radius (Rc) and the distance (L D ) extending from the pixel position (x, y) to the center (Cc), (b) the pixel brightness value ((F D (x, y)), and (c) the sum of the differences between the brightness value of the pixel and the brightness values of neighboring pixels; and a step in which a frequency histogram is created from the pixel projected into the three-dimensional space. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112037194-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107480668-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111105456-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108038516-A |
priorityDate |
2011-12-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |