| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_68477ad254943906e365d456ee89814b |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30164
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30244
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2210-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10028 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-001
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-653
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-38
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-344
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T19-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-70 |
| filingDate |
2017-08-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_88446f7cc2d605e64893eba9abeda3ef
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7ec8babc4e599aea3cf31398b4377a5e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3fc915fa0538301664f5ddc18716c00c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bd2deea043de50759c739b20b76a7f14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_108d9d99fcd1cfbbcbba4e7ef08bbb48 |
| publicationDate |
2018-02-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
KR-20180014677-A |
| titleOfInvention |
System and method for improved scoring of 3d poses and spurious point removal in 3d image data |
| abstract |
The present invention provides a system and method for estimating the match degree of a 3D alignment pose of a run-time 3D point cloud for a trained model 3D point cloud. The system and method comprise: (a) receiving an optical center of a 3D camera; (b) receiving the trained model 3D point cloud; (c) receiving the runtime 3D point cloud; And (d) configuring a plurality of segments from the optical center, the runtime candidate pose to the trained model or a plurality of 3D points in the runtime 3D point cloud, wherein the trained model 3D And scoring the match of the candidate pose of the runtime 3D point cloud for the point cloud. Thereby, the system and method determine whether to exclude or include the 3D points in the scoring step based on the location of the 3D points along each line segment. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111461980-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111461980-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11665372-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20200030485-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020145598-A1 |
| priorityDate |
2016-08-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |