Large-scale target three-dimensional reconstruction method and system based on binocular vision

The invention discloses a large-scale target three-dimensional reconstruction method and system based on binocular vision. The three-dimensional reconstruction method comprises the following steps: obtaining binocular images of a target at different visual angles; performing dual-threshold judgment...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHANG TAO, TAO SIYU, WANG RUI, YANG ZHAOXU, LIU ZEHUA, HUANG HUI, LIU XINYUAN, RONG HAIJUN
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 ZHANG TAO
TAO SIYU
WANG RUI
YANG ZHAOXU
LIU ZEHUA
HUANG HUI
LIU XINYUAN
RONG HAIJUN
description The invention discloses a large-scale target three-dimensional reconstruction method and system based on binocular vision. The three-dimensional reconstruction method comprises the following steps: obtaining binocular images of a target at different visual angles; performing dual-threshold judgment on pixel information in the binocular image, positioning an information missing position, and performing information enhancement on missing pixels by using a tensor completion algorithm; extracting a target in the binocular image after information enhancement; and carrying out stereo matching on the binocular image of the target, calculating local point cloud information according to the obtained depth map, and restoring the overall three-dimensional structure of the target through point cloud splicing. The binocular vision-based three-dimensional reconstruction technology can effectively overcome the influence of environment change on the reconstruction effect, the tensor completion technology is utilized to enhan
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN113963107A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN113963107A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN113963107A3</originalsourceid><addsrcrecordid>eNqNi0sKwkAQRLNxIeod2gMEDAHFpQTFhbhyHzozpRmYT5juCN7eBDyAqypevVoW7Y3zC6UY9iCdu5L2GSitC4jiUmRPGSZF0TwanQAFaJ8scbQkH1EE6lhgaZo6F5MZPWd6u_m8LhZP9oLNL1fF9nJ-NNcSQ2ohAxtEaNvcq6o-7utqdzjV_zhf0iI9kQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Large-scale target three-dimensional reconstruction method and system based on binocular vision</title><source>esp@cenet</source><creator>ZHANG TAO ; TAO SIYU ; WANG RUI ; YANG ZHAOXU ; LIU ZEHUA ; HUANG HUI ; LIU XINYUAN ; RONG HAIJUN</creator><creatorcontrib>ZHANG TAO ; TAO SIYU ; WANG RUI ; YANG ZHAOXU ; LIU ZEHUA ; HUANG HUI ; LIU XINYUAN ; RONG HAIJUN</creatorcontrib><description>The invention discloses a large-scale target three-dimensional reconstruction method and system based on binocular vision. The three-dimensional reconstruction method comprises the following steps: obtaining binocular images of a target at different visual angles; performing dual-threshold judgment on pixel information in the binocular image, positioning an information missing position, and performing information enhancement on missing pixels by using a tensor completion algorithm; extracting a target in the binocular image after information enhancement; and carrying out stereo matching on the binocular image of the target, calculating local point cloud information according to the obtained depth map, and restoring the overall three-dimensional structure of the target through point cloud splicing. The binocular vision-based three-dimensional reconstruction technology can effectively overcome the influence of environment change on the reconstruction effect, the tensor completion technology is utilized to enhan</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2022</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=20220121&amp;DB=EPODOC&amp;CC=CN&amp;NR=113963107A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220121&amp;DB=EPODOC&amp;CC=CN&amp;NR=113963107A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG TAO</creatorcontrib><creatorcontrib>TAO SIYU</creatorcontrib><creatorcontrib>WANG RUI</creatorcontrib><creatorcontrib>YANG ZHAOXU</creatorcontrib><creatorcontrib>LIU ZEHUA</creatorcontrib><creatorcontrib>HUANG HUI</creatorcontrib><creatorcontrib>LIU XINYUAN</creatorcontrib><creatorcontrib>RONG HAIJUN</creatorcontrib><title>Large-scale target three-dimensional reconstruction method and system based on binocular vision</title><description>The invention discloses a large-scale target three-dimensional reconstruction method and system based on binocular vision. The three-dimensional reconstruction method comprises the following steps: obtaining binocular images of a target at different visual angles; performing dual-threshold judgment on pixel information in the binocular image, positioning an information missing position, and performing information enhancement on missing pixels by using a tensor completion algorithm; extracting a target in the binocular image after information enhancement; and carrying out stereo matching on the binocular image of the target, calculating local point cloud information according to the obtained depth map, and restoring the overall three-dimensional structure of the target through point cloud splicing. The binocular vision-based three-dimensional reconstruction technology can effectively overcome the influence of environment change on the reconstruction effect, the tensor completion technology is utilized to enhan</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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi0sKwkAQRLNxIeod2gMEDAHFpQTFhbhyHzozpRmYT5juCN7eBDyAqypevVoW7Y3zC6UY9iCdu5L2GSitC4jiUmRPGSZF0TwanQAFaJ8scbQkH1EE6lhgaZo6F5MZPWd6u_m8LhZP9oLNL1fF9nJ-NNcSQ2ohAxtEaNvcq6o-7utqdzjV_zhf0iI9kQ</recordid><startdate>20220121</startdate><enddate>20220121</enddate><creator>ZHANG TAO</creator><creator>TAO SIYU</creator><creator>WANG RUI</creator><creator>YANG ZHAOXU</creator><creator>LIU ZEHUA</creator><creator>HUANG HUI</creator><creator>LIU XINYUAN</creator><creator>RONG HAIJUN</creator><scope>EVB</scope></search><sort><creationdate>20220121</creationdate><title>Large-scale target three-dimensional reconstruction method and system based on binocular vision</title><author>ZHANG TAO ; TAO SIYU ; WANG RUI ; YANG ZHAOXU ; LIU ZEHUA ; HUANG HUI ; LIU XINYUAN ; RONG HAIJUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113963107A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</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>ZHANG TAO</creatorcontrib><creatorcontrib>TAO SIYU</creatorcontrib><creatorcontrib>WANG RUI</creatorcontrib><creatorcontrib>YANG ZHAOXU</creatorcontrib><creatorcontrib>LIU ZEHUA</creatorcontrib><creatorcontrib>HUANG HUI</creatorcontrib><creatorcontrib>LIU XINYUAN</creatorcontrib><creatorcontrib>RONG HAIJUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG TAO</au><au>TAO SIYU</au><au>WANG RUI</au><au>YANG ZHAOXU</au><au>LIU ZEHUA</au><au>HUANG HUI</au><au>LIU XINYUAN</au><au>RONG HAIJUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Large-scale target three-dimensional reconstruction method and system based on binocular vision</title><date>2022-01-21</date><risdate>2022</risdate><abstract>The invention discloses a large-scale target three-dimensional reconstruction method and system based on binocular vision. The three-dimensional reconstruction method comprises the following steps: obtaining binocular images of a target at different visual angles; performing dual-threshold judgment on pixel information in the binocular image, positioning an information missing position, and performing information enhancement on missing pixels by using a tensor completion algorithm; extracting a target in the binocular image after information enhancement; and carrying out stereo matching on the binocular image of the target, calculating local point cloud information according to the obtained depth map, and restoring the overall three-dimensional structure of the target through point cloud splicing. The binocular vision-based three-dimensional reconstruction technology can effectively overcome the influence of environment change on the reconstruction effect, the tensor completion technology is utilized to enhan</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN113963107A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Large-scale target three-dimensional reconstruction method and system based on binocular vision
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T04%3A38%3A56IST&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=ZHANG%20TAO&rft.date=2022-01-21&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN113963107A%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