| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_49790ed5b8ddc5fa27a1d47732c612df |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-07 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-462
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-0006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-757
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-44 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 |
| filingDate |
2019-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b2ffdcbd906e22de20bdbd78883a0731
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aacccc1e603e00e1ee3a19cd8fbcb338
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b8e5496b6b7471205344140eff4c5019
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_440828cc9262119fa349433674dd91ff |
| publicationDate |
2019-09-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-110263795-A |
| titleOfInvention |
An Object Detection Method Based on Implicit Shape Model and Graph Matching |
| abstract |
The present invention proposes a target detection method based on the fusion of an implicit shape model and graph matching, comprising the following steps: performing SIFT feature extraction on the image to be tested and sample images in the image set, and screening out matching feature point pairs according to feature vectors; Traverse and select three point pairs in the matching feature point pairs, and connect these three points on the image to form a triangle; find similar triangles according to the similarity of vertices and similar side length ratios; calculate the Affine transformation matrix between similar triangles; through the affine transformation matrix and the center of gravity of the target object in the sample image, find the candidate center of gravity of the target object on the image to be tested and vote for it; traverse all sample images in the sample image set, repeat In the above steps, all candidate centers of gravity are found, and the cumulative score of each candidate center of gravity is counted; adjacent candidate centers of gravity are merged, and the center of gravity with a score greater than the preset threshold is used as the center of gravity of the final target object to find the target object. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116310657-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116310657-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114491122-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111353538-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113255702-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111353538-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113255702-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110796016-A |
| priorityDate |
2019-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |