http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110246092-B
Outgoing Links
Predicate | Object |
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classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10028 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20024 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
filingDate | 2019-05-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-09-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-09-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-110246092-B |
titleOfInvention | A three-dimensional laser point cloud denoising method considering the mean distance and slope of neighboring points |
abstract | The present invention can not guarantee the applicability of the threshold value of the current number of adjacent points by experience, and the fitting ability of the commonly used filtering algorithm is limited, and there are certain limitations and other series of problems. ) proposes a denoising strategy that considers the distance and slope of adjacent points. With the support of k-d tree index construction, the construction of a one-dimensional Gamma denoising function that considers the distance and slope of adjacent points alone is realized. Construction of the 2D Gamma denoising function. The two constraints of the filter proposed by the present invention consider the number of neighborhoods around the query point, the average distance between the neighborhood point and the center point, and the distribution density from different directions. Noise types such as isolated noise points are effective, and the technical effect of automatically filtering out noise points can be achieved. |
priorityDate | 2019-05-02-04:00^^<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/substance/SID419548780 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6288 |
Total number of triples: 14.