| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1543b2b19ec0e331a0dcd89888cbef5f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-033
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30036 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V30-19173
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-653
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2431
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-454
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61C9-0053
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24133
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-26 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-26
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-00 |
| filingDate |
2016-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_77962efa6fb3b1d65d3dd3ae46d43b2a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5fe7f6a9d85afcfa3e7e56822c3cc332
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_166c5296e7d2301f4ed55f38cf26fe68
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6becc750f84de346508b8f8e7eeecd05
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_06759af37dbc47f1e5c41b2a378afff9 |
| publicationDate |
2017-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2017099990-A1 |
| titleOfInvention |
Method for automatic tooth type recognition from 3d scans |
| abstract |
Methods for recognizing or identifying tooth types using digital 3D models of teeth. The methods include receiving a segmented digital 3D model of teeth and selecting a digital 3D model of a tooth from the segmented digital 3D model. An aggregation of the plurality of distinct features of the tooth is computed to generate a single feature describing the digital 3D model of the tooth. A type of the tooth is identified based upon the aggregation, which can include comparing the aggregation with features corresponding with known tooth types. The methods also include identifying a type of tooth, without segmenting it from an arch, based upon tooth widths and a location of the tooth within the arch. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11568533-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107958270-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107958270-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11379975-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019068741-A3
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11455774-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111328397-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020320685-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11494957-B2 |
| priorityDate |
2015-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |