{"id":"https://openalex.org/W4401751799","doi":"https://doi.org/10.1109/aim55361.2024.10637000","title":"Efficient Color Point Cloud Reconstruction with Robotic Arm-Guided Multiview Fusion","display_name":"Efficient Color Point Cloud Reconstruction with Robotic Arm-Guided Multiview Fusion","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4401751799","doi":"https://doi.org/10.1109/aim55361.2024.10637000"},"language":"en","primary_location":{"id":"doi:10.1109/aim55361.2024.10637000","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aim55361.2024.10637000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"},"type":"article","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/A5080203606","display_name":"Udaka A. Manawadu","orcid":"https://orcid.org/0000-0003-0839-9944"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Udaka A. Manawadu","raw_affiliation_strings":["University of Aizu,Graduate School of Computer Science and Engineering,Fukushima,Japan"],"affiliations":[{"raw_affiliation_string":"University of Aizu,Graduate School of Computer Science and Engineering,Fukushima,Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069456676","display_name":"Keitaro Naruse","orcid":"https://orcid.org/0000-0002-2029-2472"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naruse Keitaro","raw_affiliation_strings":["University of Aizu,Graduate School of Computer Science and Engineering,Fukushima,Japan"],"affiliations":[{"raw_affiliation_string":"University of Aizu,Graduate School of Computer Science and Engineering,Fukushima,Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080203606"],"corresponding_institution_ids":["https://openalex.org/I141591182"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16421328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1328","last_page":"1333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9966999888420105,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-vision","display_name":"Computer vision","score":0.7299348711967468},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6898298263549805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6745719909667969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.664182186126709},{"id":"https://openalex.org/keywords/robotic-arm","display_name":"Robotic arm","score":0.5993664860725403},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47716253995895386},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.46735242009162903},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4594811201095581},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.44238781929016113},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4335097074508667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11380279064178467},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08202177286148071}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7299348711967468},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6898298263549805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6745719909667969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664182186126709},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.5993664860725403},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47716253995895386},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.46735242009162903},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4594811201095581},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.44238781929016113},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4335097074508667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11380279064178467},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08202177286148071},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim55361.2024.10637000","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aim55361.2024.10637000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1991262051","https://openalex.org/W2049981393","https://openalex.org/W2085261163","https://openalex.org/W2099296841","https://openalex.org/W2211074159","https://openalex.org/W2366389387","https://openalex.org/W2529695652","https://openalex.org/W2617121149","https://openalex.org/W2745471877","https://openalex.org/W2776330782","https://openalex.org/W2794187083","https://openalex.org/W2909171885","https://openalex.org/W2925449641","https://openalex.org/W2962737955","https://openalex.org/W2975427194","https://openalex.org/W2999740301","https://openalex.org/W3056171435","https://openalex.org/W3104104643","https://openalex.org/W4293094865","https://openalex.org/W4319300357","https://openalex.org/W6605304823"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"This":[0,76,174],"research":[1],"addresses":[2],"the":[3,15,108,130,150,178],"significant":[4,175],"challenge":[5],"of":[6,17,59,82,90,152,180],"noise":[7,185],"in":[8,43,79,158,164,170,183,186],"point":[9],"cloud":[10],"(PC)":[11],"data,":[12],"which":[13],"undermines":[14],"accuracy":[16,42,128,151],"object":[18,192],"recognition":[19,193],"and":[20,104,115,126,143,169,194],"pose":[21,153,195],"estimation.":[22],"We":[23],"introduce":[24],"a":[25,47,53,60,70,80,88],"novel":[26],"methodology":[27,148],"that":[28],"leverages":[29],"systematic":[30],"robotic":[31],"camera":[32],"movements":[33],"for":[34,96,189],"multiview":[35],"PC":[36,93,187],"acquisition,":[37],"aimed":[38],"at":[39,102,141],"enhancing":[40],"reconstruction":[41],"noisy":[44,92],"environments.":[45],"Using":[46],"Jaco":[48],"robot":[49],"arm":[50],"outfitted":[51],"with":[52,73,87],"Realsense":[54],"D435":[55],"RGB-D":[56],"camera,":[57],"PCs":[58,84,99],"globe":[61],"valve":[62],"are":[63,100],"captured":[64],"from":[65],"multiple":[66],"angles,":[67],"focusing":[68],"on":[69],"60\u00b0":[71],"area":[72],"15\u00b0":[74,103,142],"intervals.":[75,145],"setup":[77],"results":[78],"dataset":[81],"81":[83],"per":[85],"iteration,":[86],"total":[89],"three":[91],"datasets":[94],"collected":[95],"analysis.":[97],"The":[98,119,146],"merged":[101],"30\u00b0":[105,144],"intervals,":[106,160],"using":[107,129],"Color":[109],"Iterative":[110],"Closest":[111],"Point":[112],"(ICP)":[113],"algorithm":[114,135],"refined":[116],"through":[117],"downsampling.":[118],"method":[120],"is":[121],"evaluated":[122],"by":[123,155],"measuring":[124],"position":[125,165],"orientation":[127,171],"Random":[131],"sample":[132],"consensus":[133],"(RANSAC)":[134],"across":[136],"216":[137],"instances":[138],"-108":[139],"each":[140],"proposed":[147],"enhances":[149],"estimation":[154,196],"$93":[156],"\\%$":[157],"both":[159],"reducing":[161],"mean":[162],"errors":[163],"to":[166,172],"2.35":[167],"mm":[168],"18.4\u00b0.":[173],"improvement":[176],"underscores":[177],"effectiveness":[179],"our":[181],"approach":[182],"mitigating":[184],"data":[188],"more":[190],"precise":[191],"applications.":[197]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
