{"id":"https://openalex.org/W4414535358","doi":"https://doi.org/10.23919/mva65244.2025.11175107","title":"3D Object Reconstruction Through Integration of Hyperspectral and RGB-D Imaging","display_name":"3D Object Reconstruction Through Integration of Hyperspectral and RGB-D Imaging","publication_year":2025,"publication_date":"2025-07-26","ids":{"openalex":"https://openalex.org/W4414535358","doi":"https://doi.org/10.23919/mva65244.2025.11175107"},"language":"en","primary_location":{"id":"doi:10.23919/mva65244.2025.11175107","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva65244.2025.11175107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 19th International Conference on Machine Vision and Applications (MVA)","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/A5042965582","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0001-5532-9530"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Cheng Hong","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081323471","display_name":"Guillaume Caron","orcid":null},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Guillaume Caron","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074611723","display_name":"Nevrez \u0130mamo\u011flu","orcid":"https://orcid.org/0000-0002-2661-599X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nevrez Imamoglu","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091136016","display_name":"Fumio Kanehiro","orcid":"https://orcid.org/0000-0002-0277-3467"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumio Kanehiro","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),CNRS-AIST JRL (Joint Robotics Laboratory), IRL3218,Tsukuba,Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9046000242233276,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9046000242233276,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.925599992275238},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7318999767303467},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.6452999711036682},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5127999782562256},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4691999852657318},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44749999046325684},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.43860000371932983}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.925599992275238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7429999709129333},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7318999767303467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7281000018119812},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.6452999711036682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5748999714851379},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46209999918937683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27399998903274536}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mva65244.2025.11175107","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva65244.2025.11175107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 19th International Conference on Machine Vision and Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1505952289","https://openalex.org/W2027327313","https://openalex.org/W2151103935","https://openalex.org/W2560722161","https://openalex.org/W2987475181","https://openalex.org/W3013177219","https://openalex.org/W3110848226","https://openalex.org/W3125324929","https://openalex.org/W3154129649","https://openalex.org/W3196386002","https://openalex.org/W3214821343","https://openalex.org/W4200382072","https://openalex.org/W4205470369","https://openalex.org/W4220881680","https://openalex.org/W4220889000","https://openalex.org/W4225146933","https://openalex.org/W4283831056","https://openalex.org/W4321020374","https://openalex.org/W4392172801"],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"explores":[2],"the":[3,13,61,64,83,98],"integration":[4],"of":[5,15,63,105,109],"RGB-D":[6,28],"and":[7,55,95,121],"hyperspectral":[8,35,42],"imaging":[9],"technologies":[10],"to":[11,37,59,70,124],"enhance":[12],"accuracy":[14,118],"3D":[16,41,80,102],"reconstructions.":[17],"We":[18],"propose":[19],"a":[20,34,39,77],"methodology":[21],"that":[22],"combines":[23,48],"depth":[24,57],"maps":[25,58],"from":[26,33],"an":[27],"camera":[29,36],"with":[30,82,97],"spectral":[31,53,112,126],"data":[32,85],"develop":[38],"detailed":[40],"point":[43,103],"cloud":[44],"model.":[45],"Our":[46],"approach":[47],"feature":[49],"points":[50],"detected":[51],"in":[52,76,93],"bands":[54],"captured":[56],"estimate":[60],"poses":[62],"multi-camera":[65],"system":[66],"moved":[67],"around":[68],"objects":[69,92],"reconstruct":[71],"their":[72],"overall":[73],"shape":[74],"accurately":[75],"dense":[78],"manner.":[79],"reconstruction":[81,117],"hyper-spectral":[84],"experiments":[86],"are":[87],"conducted":[88],"on":[89],"commonly":[90],"used":[91],"literature":[94],"compared":[96,123],"publicly":[99],"available":[100],"ground-truth":[101],"clouds":[104],"these":[106],"objects.":[107],"Results":[108],"utilizing":[110],"full":[111],"information":[113],"consistently":[114],"demonstrate":[115],"superior":[116],"both":[119],"quantitatively":[120],"qualitatively":[122],"reduced":[125],"representations":[127],"(i.e.":[128],"three":[129],"band":[130,135],"selected":[131],"false-color":[132],"images":[133],"or":[134],"averaged":[136],"images).":[137]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
