Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_deba2d849bc03a1959750206b2dfd4fd |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10032 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-443 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-0006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-462 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-29 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-29 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 |
filingDate |
2020-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e5c7ed004f7a043a159e5cf0ab55f2b7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5e997bf4ec3f26e3cc0b28cc14b0a1ce http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e10e9687cb16d74df5e051f66a921be4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_853984a07f3af0d55c530aa880e7c65b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fc67b64d1952a4cf08f39c318c22e1c6 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_92bd8721b19b406ea5d39c21792bd675 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ecd26fbf5349902d0df0e58f76a72e40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a64c58f07e1347f2afd99b1815bb382e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5f50f7f09456d4ffde79e8f148185e7a |
publicationDate |
2021-03-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
CN-112560868-A |
titleOfInvention |
Multi-process large area network image matching method and device based on feature point library |
abstract |
A multi-process large area network image matching method and device based on a feature point library belongs to the field of image information processing, and is characterized by comprising the following steps: connecting the main process with a feature point library; determining a database table positioned in the reference image range in the feature point library according to the reference image range and the feature point library; packaging the reference image, the feature point set and all images overlapped with the reference image as subtasks, and circulating until the traversal of the images in the measurement area is completed to form a plurality of subtask packets; the main process pushes all the subtask packets to each subprocess for processing; and the main process receives the return state of each subprocess, and returns the total task state after the main process is finished after each subprocess is finished, so that the image matching is finished. The collection mode of the characteristic points effectively ensures the quantity and the distribution of the characteristic points and meets the use requirement of large-area net adjustment; meanwhile, a sublist naming and storage mode of the feature point database is established, and the efficiency of searching and using the feature points is improved. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113255610-A |
priorityDate |
2020-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |