{"id":"https://openalex.org/W2970478056","doi":"https://doi.org/10.1109/icip.2019.8803126","title":"Cluster-Wise Removal of Reflection Artifacts in Large-Scale 3d Point Clouds Using Superpixel-Based Glass Region Estimation","display_name":"Cluster-Wise Removal of Reflection Artifacts in Large-Scale 3d Point Clouds Using Superpixel-Based Glass Region Estimation","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970478056","doi":"https://doi.org/10.1109/icip.2019.8803126","mag":"2970478056"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003763706","display_name":"Jae-Seong Yun","orcid":"https://orcid.org/0000-0002-2511-0674"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Seong Yun","raw_affiliation_strings":["Ulsan National Institute of Science and Technology, Ulsan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073397129","display_name":"Jae-Young Sim","orcid":"https://orcid.org/0000-0003-2636-7444"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Young Sim","raw_affiliation_strings":["Ulsan National Institute of Science and Technology, Ulsan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48566637"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1780","last_page":"1784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6761255264282227},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6567872762680054},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6409181356430054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5938829779624939},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5811768174171448},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5206255316734314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4593953788280487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3394622802734375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16788160800933838},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13128745555877686},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08290493488311768}],"concepts":[{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6761255264282227},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6567872762680054},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6409181356430054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5938829779624939},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5811768174171448},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5206255316734314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4593953788280487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3394622802734375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16788160800933838},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13128745555877686},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08290493488311768},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2019.8803126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/32691","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8803126","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1543446142","https://openalex.org/W1561442812","https://openalex.org/W1918869474","https://openalex.org/W1980212291","https://openalex.org/W1983897339","https://openalex.org/W2045656688","https://openalex.org/W2064194050","https://openalex.org/W2074658631","https://openalex.org/W2085261163","https://openalex.org/W2099847307","https://openalex.org/W2107530646","https://openalex.org/W2118246710","https://openalex.org/W2160821342","https://openalex.org/W2608451532","https://openalex.org/W2748199361","https://openalex.org/W2798957034","https://openalex.org/W2798966709","https://openalex.org/W2809327692","https://openalex.org/W2894734721","https://openalex.org/W2963177105","https://openalex.org/W2963676366","https://openalex.org/W2964205637","https://openalex.org/W6640167176"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3108295644","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W3126423817"],"abstract_inverted_index":{"Large-scale":[0],"3D":[1],"point":[2,71],"cloud":[3],"(LS3DPC)":[4],"models":[5,32],"captured":[6],"by":[7,15,88],"LiDAR":[8],"scanners":[9],"suffer":[10],"from":[11],"reflection":[12,26,86],"artifacts":[13,87],"caused":[14],"glass":[16,75,105],"in":[17],"real-world":[18],"scenes.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"propose":[24],"a":[25,34,67,74],"artifact":[27],"removal":[28],"algorithm":[29,102],"for":[30],"LS3DPC":[31,48],"using":[33],"panoramic":[35,41],"image.":[36],"We":[37,65,77],"first":[38],"partition":[39],"the":[40,54,82,90,100,104,111,118],"color":[42],"image":[43],"corresponding":[44],"to":[45,57,61],"an":[46],"input":[47],"model":[49],"into":[50],"superpixels,":[51],"and":[52,80,92,109],"cluster":[53],"points":[55],"projected":[56],"each":[58],"superpixel":[59,68],"according":[60],"their":[62],"geometric":[63],"positions.":[64],"determine":[66],"with":[69,117],"multiple":[70],"clusters":[72,84],"as":[73],"region.":[76],"also":[78],"detect":[79],"remove":[81],"virtual":[83,112],"of":[85],"evaluating":[89],"symmetry":[91],"geometry":[93],"scores.":[94],"The":[95],"experiment":[96],"results":[97],"show":[98],"that":[99],"proposed":[101],"detects":[103],"regions":[106],"more":[107,114],"faithfully":[108],"removes":[110],"objects":[113],"completely":[115],"compared":[116],"existing":[119],"method.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}