Laser three-dimensional point cloud reconstruction method for moving target scene
The invention provides a laser three-dimensional point cloud reconstruction method for a moving target scene. The laser three-dimensional point cloud reconstruction method comprises the steps of acquisition of high-resolution and high-density point cloud data based on undersampling, point cloud prep...
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creator | LI TONG ZHENG YONGCHAO ZHANG JINGHAO SHANG WEIDONG SHEN ZHENMIN SU YUN ZHAO SISI YANG MENGJIE |
description | The invention provides a laser three-dimensional point cloud reconstruction method for a moving target scene. The laser three-dimensional point cloud reconstruction method comprises the steps of acquisition of high-resolution and high-density point cloud data based on undersampling, point cloud preprocessing, point cloud registration and scene reconstruction and optimization. Under-sampling is adopted, and a layered scene recovery algorithm is combined to obtain a high-resolution and high-density point cloud, so that the problem that high-speed and long-distance target information cannot be obtained by a traditional laser three-dimensional detection technology can be solved; the point cloud preprocessing comprises point cloud filtering, point cloud simplification, point cloud smoothing and point normal vector estimation operation; the point cloud registration comprises three steps of rough registration, fine registration and global registration, full-view-field scene information is obtained through point clou |
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The laser three-dimensional point cloud reconstruction method comprises the steps of acquisition of high-resolution and high-density point cloud data based on undersampling, point cloud preprocessing, point cloud registration and scene reconstruction and optimization. Under-sampling is adopted, and a layered scene recovery algorithm is combined to obtain a high-resolution and high-density point cloud, so that the problem that high-speed and long-distance target information cannot be obtained by a traditional laser three-dimensional detection technology can be solved; the point cloud preprocessing comprises point cloud filtering, point cloud simplification, point cloud smoothing and point normal vector estimation operation; the point cloud registration comprises three steps of rough registration, fine registration and global registration, full-view-field scene information is obtained through point clou</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2023</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&date=20230317&DB=EPODOC&CC=CN&NR=115810084A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230317&DB=EPODOC&CC=CN&NR=115810084A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI TONG</creatorcontrib><creatorcontrib>ZHENG YONGCHAO</creatorcontrib><creatorcontrib>ZHANG JINGHAO</creatorcontrib><creatorcontrib>SHANG WEIDONG</creatorcontrib><creatorcontrib>SHEN ZHENMIN</creatorcontrib><creatorcontrib>SU YUN</creatorcontrib><creatorcontrib>ZHAO SISI</creatorcontrib><creatorcontrib>YANG MENGJIE</creatorcontrib><title>Laser three-dimensional point cloud reconstruction method for moving target scene</title><description>The invention provides a laser three-dimensional point cloud reconstruction method for a moving target scene. The laser three-dimensional point cloud reconstruction method comprises the steps of acquisition of high-resolution and high-density point cloud data based on undersampling, point cloud preprocessing, point cloud registration and scene reconstruction and optimization. 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The laser three-dimensional point cloud reconstruction method comprises the steps of acquisition of high-resolution and high-density point cloud data based on undersampling, point cloud preprocessing, point cloud registration and scene reconstruction and optimization. Under-sampling is adopted, and a layered scene recovery algorithm is combined to obtain a high-resolution and high-density point cloud, so that the problem that high-speed and long-distance target information cannot be obtained by a traditional laser three-dimensional detection technology can be solved; the point cloud preprocessing comprises point cloud filtering, point cloud simplification, point cloud smoothing and point normal vector estimation operation; the point cloud registration comprises three steps of rough registration, fine registration and global registration, full-view-field scene information is obtained through point clou</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Laser three-dimensional point cloud reconstruction method for moving target scene |
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