{"id":"https://openalex.org/W4416749865","doi":"https://doi.org/10.1109/iros60139.2025.11246221","title":"Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration","display_name":"Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416749865","doi":"https://doi.org/10.1109/iros60139.2025.11246221"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5102543287","display_name":"Jinjiang You","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jinjiang You","raw_affiliation_strings":["Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101836291","display_name":"Hewei Wang","orcid":"https://orcid.org/0000-0002-6952-0886"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hewei Wang","raw_affiliation_strings":["Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001054333","display_name":"Yijie Li","orcid":"https://orcid.org/0000-0003-2118-2280"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijie Li","raw_affiliation_strings":["Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001015558","display_name":"Mingxiao Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingxiao Huo","raw_affiliation_strings":["Carnegie Mellon University,Electrical and Computer Engineering,Pittsburgh,PA,USA,15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Electrical and Computer Engineering,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119694990","display_name":"Long V\u00e2n Tran Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Long V\u00e2n Tran Ha","raw_affiliation_strings":["Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,School of Computer Science,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100570223","display_name":"Mingyuan Ma","orcid":"https://orcid.org/0000-0003-1727-1950"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyuan Ma","raw_affiliation_strings":["Harvard University,Harvard John A. Paulson School of Engineering And Applied Sciences,Boston,MA,USA,02134"],"affiliations":[{"raw_affiliation_string":"Harvard University,Harvard John A. Paulson School of Engineering And Applied Sciences,Boston,MA,USA,02134","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102712848","display_name":"Jinfeng Xu","orcid":"https://orcid.org/0000-0002-4557-3406"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jinfeng Xu","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong,China,999077","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357300","display_name":"Jiayi Zhang","orcid":"https://orcid.org/0000-0002-0601-5794"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiayi Zhang","raw_affiliation_strings":["University of Nottingham,School of Mathematical Science,Nottingham,United Kingdom,NG7 2RD"],"affiliations":[{"raw_affiliation_string":"University of Nottingham,School of Mathematical Science,Nottingham,United Kingdom,NG7 2RD","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002247351","display_name":"Puzhen Wu","orcid":"https://orcid.org/0000-0003-1510-215X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Puzhen Wu","raw_affiliation_strings":["Cornell University,Weill Cornell Medicine,New York,NY,USA,10065"],"affiliations":[{"raw_affiliation_string":"Cornell University,Weill Cornell Medicine,New York,NY,USA,10065","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103058368","display_name":"Shubham Garg","orcid":"https://orcid.org/0000-0002-8089-8732"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shubham Garg","raw_affiliation_strings":["Meta Reality Labs,Pittsburgh,PA,USA,15222"],"affiliations":[{"raw_affiliation_string":"Meta Reality Labs,Pittsburgh,PA,USA,15222","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100782017","display_name":"Wei Pu","orcid":"https://orcid.org/0000-0001-8932-2513"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Pu","raw_affiliation_strings":["Meta Reality Labs,Pittsburgh,PA,USA,15222"],"affiliations":[{"raw_affiliation_string":"Meta Reality Labs,Pittsburgh,PA,USA,15222","institution_ids":["https://openalex.org/I4210128585"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5102543287"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40216323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16106","last_page":"16113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.5638999938964844,"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":0.5638999938964844,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.22360000014305115,"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":0.0560000017285347,"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/intrinsics","display_name":"Intrinsics","score":0.991599977016449},{"id":"https://openalex.org/keywords/reprojection-error","display_name":"Reprojection error","score":0.9003000259399414},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6241999864578247},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5637999773025513},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.492000013589859},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.44859999418258667},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.3955000042915344},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.3686000108718872}],"concepts":[{"id":"https://openalex.org/C2908650547","wikidata":"https://www.wikidata.org/wiki/Q20999234","display_name":"Intrinsics","level":2,"score":0.991599977016449},{"id":"https://openalex.org/C23903533","wikidata":"https://www.wikidata.org/wiki/Q17122739","display_name":"Reprojection error","level":3,"score":0.9003000259399414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103000283241272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603999733924866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6578999757766724},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6241999864578247},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5637999773025513},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C20625954","wikidata":"https://www.wikidata.org/wiki/Q543533","display_name":"Coplanarity","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":20,"referenced_works":["https://openalex.org/W2018558204","https://openalex.org/W2050551672","https://openalex.org/W2151103935","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2604901014","https://openalex.org/W2753893487","https://openalex.org/W2898189770","https://openalex.org/W2901084264","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3106653913","https://openalex.org/W3194532238","https://openalex.org/W4389250050","https://openalex.org/W4401414136","https://openalex.org/W4402727698","https://openalex.org/W4402753851","https://openalex.org/W4402816534","https://openalex.org/W4404198699","https://openalex.org/W4413145250"],"related_works":[],"abstract_inverted_index":{"Calibrating":[0],"large-scale":[1,161],"camera":[2,162],"arrays,":[3],"such":[4,23],"as":[5,133],"those":[6],"in":[7,22,104],"dome-based":[8],"setups,":[9],"is":[10,166],"time-intensive":[11],"and":[12,108,137,141,156],"typically":[13],"requires":[14],"dedicated":[15,134],"captures":[16],"of":[17],"known":[18],"patterns.":[19],"While":[20],"extrinsics":[21,80,87],"arrays":[24],"are":[25],"fixed":[26],"due":[27,37],"to":[28,38,83,96],"the":[29,64,105,121,130],"physical":[30],"setup,":[31],"intrinsics":[32,58,110,140],"often":[33],"vary":[34],"across":[35,116],"sessions":[36],"factors":[39],"like":[40],"lens":[41],"adjustments":[42],"or":[43],"temperature":[44],"changes.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"propose":[50],"a":[51,91],"dense-feature-driven":[52],"multi-frame":[53],"calibration":[54,68,135],"method":[55,127,152],"that":[56,125],"refines":[57],"directly":[59],"from":[60],"scene":[61],"data,":[62],"eliminating":[63],"necessity":[65],"for":[66,113,160],"additional":[67],"captures.":[69],"Our":[70,164],"approach":[71],"enhances":[72,139],"traditional":[73],"Structure-from-Motion":[74],"(SfM)":[75],"pipelines":[76],"by":[77,100],"introducing":[78],"an":[79,109,154],"regularization":[81],"term":[82,95,112],"progressively":[84],"align":[85],"estimated":[86],"with":[88,147],"ground-truth":[89],"values,":[90],"dense":[92],"feature":[93,106],"reprojection":[94,102],"reduce":[97],"keypoint":[98],"errors":[99],"minimizing":[101],"loss":[103],"space,":[107],"variance":[111],"joint":[114],"optimization":[115],"multiple":[117],"frames.":[118],"Experiments":[119],"on":[120],"Multiface":[122],"dataset":[123],"show":[124],"our":[126,151],"achieves":[128],"nearly":[129],"same":[131],"precision":[132],"processes,":[136],"significantly":[138],"3D":[142],"reconstruction":[143],"accuracy.":[144],"Fully":[145],"compatible":[146],"existing":[148],"SfM":[149],"pipelines,":[150],"provides":[153],"efficient":[155],"practical":[157],"plug-and-play":[158],"solution":[159],"setups.":[163],"code":[165],"publicly":[167],"available":[168],"at:":[169],"https://github.com/YJJfish/Multi-Cali-Anything":[170]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}
