{"id":"https://openalex.org/W4312343750","doi":"https://doi.org/10.1109/igarss46834.2022.9883156","title":"Dense Three-Dimensional Color Reconstruction with data Fusion and Image-Guided Depth Completion for Large-Scale Outdoor Scenes","display_name":"Dense Three-Dimensional Color Reconstruction with data Fusion and Image-Guided Depth Completion for Large-Scale Outdoor Scenes","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312343750","doi":"https://doi.org/10.1109/igarss46834.2022.9883156"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883156","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5086524293","display_name":"Zixiao Liu","orcid":"https://orcid.org/0000-0003-1161-1803"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiao Liu","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073566291","display_name":"Yuxi Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxi Hu","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042118277","display_name":"Taimeng Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taimeng Fu","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040559125","display_name":"Man-On Pun","orcid":"https://orcid.org/0000-0003-3316-5381"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man-On Pun","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172","Pengcheng Laboratory, Shenzhen, China","Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3468","last_page":"3471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8555905818939209},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7996715307235718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7746835947036743},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7647706866264343},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6862877011299133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6738775968551636},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.581312358379364},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4690589904785156},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4486885964870453},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3174510598182678},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2669581472873688},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2133893370628357},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.18803024291992188},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08426859974861145},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.08305415511131287}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8555905818939209},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7996715307235718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7746835947036743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7647706866264343},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6862877011299133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6738775968551636},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.581312358379364},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4690589904785156},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4486885964870453},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3174510598182678},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2669581472873688},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2133893370628357},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.18803024291992188},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08426859974861145},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.08305415511131287}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883156","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4212966960","https://openalex.org/W3196708299","https://openalex.org/W3126674423","https://openalex.org/W2991246638","https://openalex.org/W2922939509","https://openalex.org/W3130706162","https://openalex.org/W2811307883","https://openalex.org/W2281664702"],"abstract_inverted_index":{"Accurate":[0],"three-dimensional":[1],"(3D)":[2],"city":[3],"models":[4,150],"are":[5,96],"critical":[6],"for":[7,42,151],"applications,":[8],"such":[9,47],"as":[10],"digital":[11],"city,":[12],"urban":[13],"planning":[14],"and":[15,18,25,29,66,92,106,158],"geo-graphic":[16],"surveying":[17],"mapping.":[19],"The":[20],"synergy":[21],"of":[22,57,89,102,130],"deep":[23],"learning":[24],"LiDAR-based":[26],"Simultaneous":[27],"Localization":[28],"Mapping":[30],"(SLAM)":[31],"has":[32],"achieved":[33],"some":[34],"success":[35],"in":[36],"obtaining":[37],"dense":[38],"3D":[39,90,103,148],"color":[40,104,149],"maps":[41,105],"large-scale":[43,152],"outdoor":[44,153],"scenes.":[45],"In":[46,78,111],"a":[48,53,58,67],"frame-work,":[49],"this":[50],"paper":[51],"proposes":[52],"sensor-fusion":[54],"system":[55,115,144],"composed":[56],"solid-state":[59,123],"LiDAR,":[60],"an":[61],"inertial":[62],"measurement":[63],"unit":[64],"(IMU)":[65],"monocular":[68],"camera":[69],"by":[70,120],"introducing":[71],"image-guided":[72],"depth":[73,109,135],"completion":[74],"into":[75],"LiDAR":[76,124],"SLAM.":[77],"the":[79,82,86,94,100,108,113,122,128,134,142],"proposed":[80,114,143],"system,":[81],"LiDAR-IMU":[83],"odometry":[84],"constructs":[85],"geometry":[87],"structure":[88],"maps,":[91],"subsequently,":[93],"images":[95],"used":[97],"to":[98],"render":[99],"texture":[101],"guide":[107],"completion.":[110,136],"particular,":[112],"generates":[116],"denser":[117],"point":[118,131],"clouds":[119,132],"exploiting":[121],"before":[125],"further":[126],"increasing":[127],"density":[129],"via":[133],"Our":[137],"ex-perimental":[138],"results":[139],"show":[140],"that":[141],"can":[145],"achieve":[146],"impressive":[147],"scenes":[154],"through":[155],"faster":[156],"scan":[157],"reconstruction":[159],"process.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}