http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110502989-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_653c418e41edbb4e1ce8bc5e53e70cec |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-172 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate | 2019-07-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c96f1de36a55a60b936137cea7ddf153 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b9f1de07f09b8d87a709f148340732c6 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7df7d3ffea7ea12e52f6d0f9e44ab501 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ec03d5819cdda657467ddf13918cb2c2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9dd02f6668a2076914ece99bae8305b2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b7ce5f2f1d32c8e45399e14e3fcda6e5 |
| publicationDate | 2019-11-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110502989-A |
| titleOfInvention | A small-sample hyperspectral face recognition method and system |
| abstract | The present disclosure provides a small-sample hyperspectral face recognition method and system. Among them, the small-sample hyperspectral face recognition method includes: the step of constructing a hyperspectral face recognition model: the hyperspectral face recognition model is composed of a local classifier connected in parallel and a K-nearest neighbor classifier; the local classifier consists of several parallel Connected naive Bayesian classifiers; hyperspectral face recognition model training and optimization steps, the process is: obtain hyperspectral face images as samples and mark face categories; divide hyperspectral face image samples into The Bayesian classifier has an equal number of candidate local regions, extracts the local features of each candidate local region, and inputs them to the corresponding Naive Bayesian classifier for training; extracts the low-frequency components of the spectral Fourier transform in the hyperspectral image sample as the global Features, training the K nearest neighbor classifier; optimizing the trained hyperspectral face recognition model; testing the output hyperspectral face category step. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111444860-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023000864-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111680599-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110991551-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110991551-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111680599-A |
| priorityDate | 2019-07-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572 |
Total number of triples: 26.