{"id":"https://openalex.org/W4402839970","doi":"https://doi.org/10.1080/17538947.2024.2407943","title":"A robust correspondence-based registration method for large-scale outdoor point cloud","display_name":"A robust correspondence-based registration method for large-scale outdoor point cloud","publication_year":2024,"publication_date":"2024-09-25","ids":{"openalex":"https://openalex.org/W4402839970","doi":"https://doi.org/10.1080/17538947.2024.2407943"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2024.2407943","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2407943","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2024.2407943","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022332538","display_name":"Raobo Li","orcid":"https://orcid.org/0000-0001-7010-1702"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Raobo Li","raw_affiliation_strings":["Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049501520","display_name":"Xiping Yuan","orcid":"https://orcid.org/0009-0002-1854-7322"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiping Yuan","raw_affiliation_strings":["College of Geosciences and Engineering, West Yunnan University of Applied Sciences, Dali, People\u2019s Republic of China","Key Laboratory of Mountain Real Scene Point Cloud Data Processing and Application for Universities in Yunnan Province, West Yunnan University of Applied Sciences, Dali, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geosciences and Engineering, West Yunnan University of Applied Sciences, Dali, People\u2019s Republic of China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Key Laboratory of Mountain Real Scene Point Cloud Data Processing and Application for Universities in Yunnan Province, West Yunnan University of Applied Sciences, Dali, People\u2019s Republic of China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101948594","display_name":"Shu Gan","orcid":"https://orcid.org/0000-0002-2150-6495"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shu Gan","raw_affiliation_strings":["Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049375342","display_name":"Rui Bi","orcid":"https://orcid.org/0000-0002-6747-4839"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Bi","raw_affiliation_strings":["Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, People\u2019s Republic of China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101948594"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":0.3295,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54147685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"17","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"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/point-cloud","display_name":"Point cloud","score":0.7610801458358765},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6014024615287781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5069270730018616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48806560039520264},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.48288965225219727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4817054867744446},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.46869468688964844},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4312206506729126},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4151500463485718},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.39285194873809814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3119407892227173},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1826518177986145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13392087817192078}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7610801458358765},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6014024615287781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5069270730018616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48806560039520264},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.48288965225219727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4817054867744446},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.46869468688964844},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4312206506729126},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4151500463485718},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.39285194873809814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3119407892227173},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1826518177986145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13392087817192078},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2024.2407943","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2407943","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a409a2d0c4814912b886ac84937f6196","is_oa":false,"landing_page_url":"https://doaj.org/article/a409a2d0c4814912b886ac84937f6196","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 17, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2024.2407943","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2407943","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2564890180","display_name":null,"funder_award_id":"62266026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1546734293","https://openalex.org/W1602739162","https://openalex.org/W1989625560","https://openalex.org/W2012596828","https://openalex.org/W2015348959","https://openalex.org/W2027710719","https://openalex.org/W2046434485","https://openalex.org/W2049981393","https://openalex.org/W2088616581","https://openalex.org/W2111073598","https://openalex.org/W2118877769","https://openalex.org/W2130558599","https://openalex.org/W2150066425","https://openalex.org/W2160821342","https://openalex.org/W2307922982","https://openalex.org/W2473418274","https://openalex.org/W2560609797","https://openalex.org/W2590182186","https://openalex.org/W2610614679","https://openalex.org/W2769591697","https://openalex.org/W2872491670","https://openalex.org/W2901531818","https://openalex.org/W2963264709","https://openalex.org/W2973258311","https://openalex.org/W2981995220","https://openalex.org/W2986382673","https://openalex.org/W2998095032","https://openalex.org/W2999003110","https://openalex.org/W3014916165","https://openalex.org/W3015072278","https://openalex.org/W3020328497","https://openalex.org/W3034373437","https://openalex.org/W3035030518","https://openalex.org/W3035574168","https://openalex.org/W3104290757","https://openalex.org/W3111598592","https://openalex.org/W3162751582","https://openalex.org/W3176124701","https://openalex.org/W3185902918","https://openalex.org/W3201495219","https://openalex.org/W3217048438","https://openalex.org/W4210281455","https://openalex.org/W4210323894","https://openalex.org/W4226346514","https://openalex.org/W4280643352","https://openalex.org/W4312119994","https://openalex.org/W4312541757","https://openalex.org/W4366351566","https://openalex.org/W4382982923","https://openalex.org/W4386065759","https://openalex.org/W4386075809","https://openalex.org/W4390691356","https://openalex.org/W4390873665","https://openalex.org/W4391791398","https://openalex.org/W4391992736","https://openalex.org/W4392719444","https://openalex.org/W4392939501","https://openalex.org/W4399876968","https://openalex.org/W4399943009","https://openalex.org/W4401414209"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"Large-scale":[0],"outdoor":[1,12,66],"point":[2,21,67],"cloud":[3,22,68],"registration":[4,23,147],"is":[5,17,56],"essential":[6],"for":[7,36,58,144],"the":[8,34,60,73,129,139,146,163],"3D":[9],"reconstruction":[10],"of":[11,52,64,110,171],"scenes.":[13],"Its":[14],"central":[15],"objective":[16],"to":[18,86,96],"achieve":[19],"accurate":[20,26],"by":[24],"determining":[25],"spatial":[27],"transformation":[28],"parameters.":[29],"While":[30],"feature-based":[31],"methods":[32,156],"eliminate":[33],"need":[35],"initial":[37],"position":[38],"estimation,":[39],"they":[40],"encounter":[41],"challenges":[42],"in":[43,104,116,169,179,188],"handling":[44],"high":[45],"outlier":[46],"rates.":[47],"Therefore,":[48],"a":[49,107],"method":[50,143,165,184],"capable":[51],"effectively":[53],"managing":[54],"outliers":[55,115],"crucial":[57],"enhancing":[59],"efficiency":[61],"and":[62,124,153,176,191,195],"accuracy":[63],"large-scale":[65],"registration.":[69],"This":[70,183],"paper":[71],"introduces":[72],"maximal":[74],"clique":[75],"with":[76,106,151],"adaptive":[77,92],"voting":[78,94],"(MCAV)":[79],"method,":[80],"which":[81],"leverages":[82],"graph-based":[83],"inlier":[84],"compatibility":[85],"optimize":[87],"potential":[88,117],"matches.":[89],"MCAV":[90],"employs":[91],"parameter":[93],"(APV)":[95],"enhance":[97],"computational":[98],"efficiency,":[99,177],"demonstrating":[100],"significant":[101,108],"speedup":[102],"characteristics":[103],"datasets":[105],"number":[109],"inliers.":[111],"To":[112],"further":[113],"reduce":[114],"matches,":[118],"we":[119,137],"integrate":[120],"Black-Rangarajan":[121],"Duality":[122],"(BRD)":[123],"graduated":[125],"non-convexity":[126],"(GNC)":[127],"into":[128],"truncated":[130],"least":[131],"squares":[132],"(TLS)":[133],"framework":[134],"(BG-TLS).":[135],"Accordingly,":[136],"propose":[138],"efficient":[140],"BG-TLS":[141],"(EBG-TLS)":[142],"computing":[145],"model.":[148],"Comparative":[149],"analyses":[150],"traditional":[152],"deep":[154],"learning-based":[155],"across":[157],"various":[158],"real-world":[159],"environments":[160],"demonstrate":[161],"that":[162],"proposed":[164],"outperforms":[166],"existing":[167],"algorithms":[168],"terms":[170],"rotation":[172],"error,":[173,175],"translation":[174],"particularly":[178],"complex,":[180],"high-noise":[181],"settings.":[182],"finds":[185],"broad":[186],"applications":[187],"geospatial":[189],"mapping":[190],"surveying,":[192],"autonomous":[193],"navigation,":[194],"environmental":[196],"monitoring.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}