http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109671109-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_472eb42adba9108e868be133fa21a4f0 |
classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10028 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-33 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-33 |
filingDate | 2018-12-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ac9579bc49d850e073c97a93bffd1539 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6fd24ed30a0e1129390a40ec8d129d9b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0bfbd2e558bb12e26f049fb09f56cacb http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_429215a3ec875198cddc9f187ad4e044 |
publicationDate | 2019-04-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-109671109-A |
titleOfInvention | Dense point cloud generation method and system |
abstract | The invention discloses a method and system for generating a dense point cloud. The method comprises: reading multiple images captured and collected by an unmanned aerial vehicle, extracting features with the same name and image points with the same name from the multiple images through a GPU, Match the feature points with the image points of the same name to obtain the corresponding matching point pair information; use the beam method adjustment principle, according to the matching point pair information, use the multi-view geometric principle to solve the relative orientation elements of each image, and restore based on the relative orientation elements. Obtain the position and attitude information of the UAV image stereo pair in the space coordinate system; based on the position and attitude information of the restored UAV image stereo pair in the space coordinate system, inversely calculate the image points on the reference image to the overlapping image And look for the image points of the same name, and use the image points of the same name to generate corresponding dense point clouds through spatial front intersection. It effectively solves the problem that the traditional UAV data processing method has low computing efficiency and cannot achieve fast and efficient data processing. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112270694-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114241007-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114241007-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112465969-A |
priorityDate | 2018-12-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197 |
Total number of triples: 21.