Method for denoising tunnel point cloud and generating visualization model

The invention relates to a tunnel point cloud denoising and visualization model generation method, which belongs to the technical field of graphics and visualization, and comprises the steps of collecting tunnel three-dimensional point cloud, and preprocessing tunnel point cloud data; denoising poin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: GAO XUECHI, LIU JIAN, CHANG HONGLEI, XIE QUANYI, WANG KAI, WANG JIANHONG, JIN YAN, HAN BO
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator GAO XUECHI
LIU JIAN
CHANG HONGLEI
XIE QUANYI
WANG KAI
WANG JIANHONG
JIN YAN
HAN BO
description The invention relates to a tunnel point cloud denoising and visualization model generation method, which belongs to the technical field of graphics and visualization, and comprises the steps of collecting tunnel three-dimensional point cloud, and preprocessing tunnel point cloud data; denoising points: dividing the noise points into noise points in the tunnel and noise points outside the tunnel according to the position of the noise, dividing the noise points in the tunnel into outliers caused by a moving target and appendage noise points caused by facilities in the tunnel according to the spatial distribution condition, and performing denoising point processing according to the geometrical characteristics of the existing point arrangement and the actual condition of the tunnel to obtain denoised noise points; noise in the tunnel and noise outside the tunnel are respectively processed; joint filling, surface filling, surface constructing and ground adding are conducted. The method onlydepends on the point clo
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112465991A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112465991A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112465991A3</originalsourceid><addsrcrecordid>eNrjZPDyTS3JyE9RSMsvUkhJzcvPLM7MS1coKc3LS81RKMjPzCtRSM7JL01RSMxLUUhPzUstSiwBqSjLLC5NzMmsAvLy8xRy81NSc3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWIyUHtJvLOfoaGRiZmppaWhozExagBTMDWW</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for denoising tunnel point cloud and generating visualization model</title><source>esp@cenet</source><creator>GAO XUECHI ; LIU JIAN ; CHANG HONGLEI ; XIE QUANYI ; WANG KAI ; WANG JIANHONG ; JIN YAN ; HAN BO</creator><creatorcontrib>GAO XUECHI ; LIU JIAN ; CHANG HONGLEI ; XIE QUANYI ; WANG KAI ; WANG JIANHONG ; JIN YAN ; HAN BO</creatorcontrib><description>The invention relates to a tunnel point cloud denoising and visualization model generation method, which belongs to the technical field of graphics and visualization, and comprises the steps of collecting tunnel three-dimensional point cloud, and preprocessing tunnel point cloud data; denoising points: dividing the noise points into noise points in the tunnel and noise points outside the tunnel according to the position of the noise, dividing the noise points in the tunnel into outliers caused by a moving target and appendage noise points caused by facilities in the tunnel according to the spatial distribution condition, and performing denoising point processing according to the geometrical characteristics of the existing point arrangement and the actual condition of the tunnel to obtain denoised noise points; noise in the tunnel and noise outside the tunnel are respectively processed; joint filling, surface filling, surface constructing and ground adding are conducted. The method onlydepends on the point clo</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210309&amp;DB=EPODOC&amp;CC=CN&amp;NR=112465991A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210309&amp;DB=EPODOC&amp;CC=CN&amp;NR=112465991A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GAO XUECHI</creatorcontrib><creatorcontrib>LIU JIAN</creatorcontrib><creatorcontrib>CHANG HONGLEI</creatorcontrib><creatorcontrib>XIE QUANYI</creatorcontrib><creatorcontrib>WANG KAI</creatorcontrib><creatorcontrib>WANG JIANHONG</creatorcontrib><creatorcontrib>JIN YAN</creatorcontrib><creatorcontrib>HAN BO</creatorcontrib><title>Method for denoising tunnel point cloud and generating visualization model</title><description>The invention relates to a tunnel point cloud denoising and visualization model generation method, which belongs to the technical field of graphics and visualization, and comprises the steps of collecting tunnel three-dimensional point cloud, and preprocessing tunnel point cloud data; denoising points: dividing the noise points into noise points in the tunnel and noise points outside the tunnel according to the position of the noise, dividing the noise points in the tunnel into outliers caused by a moving target and appendage noise points caused by facilities in the tunnel according to the spatial distribution condition, and performing denoising point processing according to the geometrical characteristics of the existing point arrangement and the actual condition of the tunnel to obtain denoised noise points; noise in the tunnel and noise outside the tunnel are respectively processed; joint filling, surface filling, surface constructing and ground adding are conducted. The method onlydepends on the point clo</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDyTS3JyE9RSMsvUkhJzcvPLM7MS1coKc3LS81RKMjPzCtRSM7JL01RSMxLUUhPzUstSiwBqSjLLC5NzMmsAvLy8xRy81NSc3gYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWIyUHtJvLOfoaGRiZmppaWhozExagBTMDWW</recordid><startdate>20210309</startdate><enddate>20210309</enddate><creator>GAO XUECHI</creator><creator>LIU JIAN</creator><creator>CHANG HONGLEI</creator><creator>XIE QUANYI</creator><creator>WANG KAI</creator><creator>WANG JIANHONG</creator><creator>JIN YAN</creator><creator>HAN BO</creator><scope>EVB</scope></search><sort><creationdate>20210309</creationdate><title>Method for denoising tunnel point cloud and generating visualization model</title><author>GAO XUECHI ; LIU JIAN ; CHANG HONGLEI ; XIE QUANYI ; WANG KAI ; WANG JIANHONG ; JIN YAN ; HAN BO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112465991A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>GAO XUECHI</creatorcontrib><creatorcontrib>LIU JIAN</creatorcontrib><creatorcontrib>CHANG HONGLEI</creatorcontrib><creatorcontrib>XIE QUANYI</creatorcontrib><creatorcontrib>WANG KAI</creatorcontrib><creatorcontrib>WANG JIANHONG</creatorcontrib><creatorcontrib>JIN YAN</creatorcontrib><creatorcontrib>HAN BO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GAO XUECHI</au><au>LIU JIAN</au><au>CHANG HONGLEI</au><au>XIE QUANYI</au><au>WANG KAI</au><au>WANG JIANHONG</au><au>JIN YAN</au><au>HAN BO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for denoising tunnel point cloud and generating visualization model</title><date>2021-03-09</date><risdate>2021</risdate><abstract>The invention relates to a tunnel point cloud denoising and visualization model generation method, which belongs to the technical field of graphics and visualization, and comprises the steps of collecting tunnel three-dimensional point cloud, and preprocessing tunnel point cloud data; denoising points: dividing the noise points into noise points in the tunnel and noise points outside the tunnel according to the position of the noise, dividing the noise points in the tunnel into outliers caused by a moving target and appendage noise points caused by facilities in the tunnel according to the spatial distribution condition, and performing denoising point processing according to the geometrical characteristics of the existing point arrangement and the actual condition of the tunnel to obtain denoised noise points; noise in the tunnel and noise outside the tunnel are respectively processed; joint filling, surface filling, surface constructing and ground adding are conducted. The method onlydepends on the point clo</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN112465991A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Method for denoising tunnel point cloud and generating visualization model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T06%3A10%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=GAO%20XUECHI&rft.date=2021-03-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112465991A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true