{"id":"https://openalex.org/W7146945313","doi":"https://doi.org/10.48550/arxiv.2603.28159","title":"Event-Based Method for High-Speed 3D Deformation Measurement under Extreme Illumination Conditions","display_name":"Event-Based Method for High-Speed 3D Deformation Measurement under Extreme Illumination Conditions","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7146945313","doi":"https://doi.org/10.48550/arxiv.2603.28159"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.28159","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28159","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.28159","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132641661","display_name":"Banglei Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Banglei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113093239","display_name":"Yifei Bian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bian, Yifei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132640660","display_name":"Zibin Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zibin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132635856","display_name":"Haoyang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Haoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088836294","display_name":"Xuanyu Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Xuanyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109697379","display_name":"Taihang Lei","orcid":"https://orcid.org/0009-0003-9460-8809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Taihang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132632908","display_name":"Bin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132719931","display_name":"Yang Shang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shang, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132707017","display_name":"Qifeng Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Qifeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.6243000030517578,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.6243000030517578,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10638","display_name":"Optical measurement and interference techniques","score":0.08619999885559082,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.017799999564886093,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.6712999939918518},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6485000252723694},{"id":"https://openalex.org/keywords/structured-light","display_name":"Structured light","score":0.5281999707221985},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5268999934196472},{"id":"https://openalex.org/keywords/extreme-point","display_name":"Extreme point","score":0.45419999957084656},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4359999895095825},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.43230000138282776},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.41620001196861267}],"concepts":[{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.6712999939918518},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6485000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54830002784729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5371999740600586},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.5281999707221985},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48339998722076416},{"id":"https://openalex.org/C39847760","wikidata":"https://www.wikidata.org/wiki/Q1385465","display_name":"Extreme point","level":2,"score":0.45419999957084656},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.43230000138282776},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.41620001196861267},{"id":"https://openalex.org/C136428324","wikidata":"https://www.wikidata.org/wiki/Q838414","display_name":"Deformation monitoring","level":3,"score":0.40369999408721924},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.351500004529953},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.3294999897480011},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C37649242","wikidata":"https://www.wikidata.org/wiki/Q932268","display_name":"System of measurement","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.27880001068115234},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.27810001373291016},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.28159","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28159","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.28159","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28159","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6899948120117188,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Background:":[0],"Large":[1],"engineering":[2],"structures,":[3],"such":[4],"as":[5,56],"space":[6],"launch":[7],"towers":[8],"and":[9,22,67,109,145,184,237],"suspension":[10],"bridges,":[11],"are":[12],"subjected":[13],"to":[14,37,43,46,60,78,113,220],"extreme":[15,30,93,174,211],"forces":[16],"that":[17,163],"cause":[18],"high-speed":[19,86,207],"3D":[20,87,154,185,208,229],"deformation":[21,88,155,186,244],"compromise":[23],"safety.":[24],"These":[25],"structures":[26,91,232],"typically":[27],"operate":[28],"under":[29,173,210,233],"illumination":[31,94,175,212],"conditions.":[32,95,213],"Traditional":[33],"cameras":[34,53,62,204],"often":[35],"struggle":[36],"handle":[38],"strong":[39],"light":[40],"intensity,":[41],"leading":[42],"overexposure":[44],"due":[45],"their":[47],"limited":[48],"dynamic":[49,65],"range.":[50],"Objective:":[51],"Event":[52],"have":[54],"emerged":[55],"a":[57,81,134,141,180],"compelling":[58],"alternative":[59],"traditional":[61,203],"in":[63,92,131,205],"high":[64],"range":[66],"low-latency":[68],"applications.":[69],"This":[70,196],"paper":[71,197],"presents":[72],"an":[73],"integrated":[74],"method,":[75],"from":[76],"calibration":[77,125],"measurement,":[79,187],"using":[80],"multi-event":[82,181],"camera":[83,182],"array":[84,183],"for":[85],"monitoring":[89],"of":[90,104,153,156,179,191,202,231,241],"Methods:":[96],"Firstly,":[97],"the":[98,102,105,115,121,128,148,151,157,164,189,192,199,223,238,242],"proposed":[99,193,224],"method":[100,122,149,225],"combines":[101],"characteristics":[103],"asynchronous":[106],"event":[107],"stream":[108],"temporal":[110],"correlation":[111],"analysis":[112],"extract":[114],"corresponding":[116],"marker":[117],"center":[118],"point.":[119],"Subsequently,":[120],"achieves":[123],"rapid":[124],"by":[126,139],"solving":[127],"Kruppa":[129],"equations":[130],"conjunction":[132],"with":[133],"parameter":[135],"optimization":[136],"framework.":[137],"Finally,":[138],"employing":[140],"unified":[142],"coordinate":[143],"transformation":[144],"linear":[146],"intersection,":[147],"enables":[150],"measurement":[152,166],"target":[158],"structure.":[159],"Results:":[160],"Experiments":[161],"confirmed":[162],"relative":[165,239],"error":[167,240],"is":[168,245],"below":[169],"0.08%.":[170],"Field":[171],"experiments":[172],"conditions,":[176,236],"including":[177],"self-calibration":[178],"verified":[188],"performance":[190],"method.":[194],"Conclusions:":[195],"addressed":[198],"critical":[200],"limitation":[201],"measuring":[206],"deformations":[209,230],"The":[214],"experimental":[215],"results":[216],"demonstrate":[217],"that,":[218],"compared":[219],"other":[221],"methods,":[222],"can":[226],"accurately":[227],"measure":[228],"harsh":[234],"lighting":[235],"measured":[243],"less":[246],"than":[247],"0.1%.":[248]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-02T00:00:00"}
