{"id":"https://openalex.org/W2913328369","doi":"https://doi.org/10.1109/avss.2018.8639403","title":"Multispectral Matching using Conditional Generative Appearance Modeling","display_name":"Multispectral Matching using Conditional Generative Appearance Modeling","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2913328369","doi":"https://doi.org/10.1109/avss.2018.8639403","mag":"2913328369"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2018.8639403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2018.8639403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-531057.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008037781","display_name":"Christoph Bodensteiner","orcid":"https://orcid.org/0000-0002-5563-3484"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christoph Bodensteiner","raw_affiliation_strings":["Fraunhofer IOSB"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069250418","display_name":"Sebastian Bullinger","orcid":"https://orcid.org/0000-0002-1584-5319"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Bullinger","raw_affiliation_strings":["Fraunhofer IOSB"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000041406","display_name":"Michael Arens","orcid":"https://orcid.org/0000-0002-7857-0332"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Arens","raw_affiliation_strings":["Fraunhofer IOSB"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB","institution_ids":["https://openalex.org/I4210111500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008037781"],"corresponding_institution_ids":["https://openalex.org/I4210111500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.17843445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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":0.9983999729156494,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.992900013923645,"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/multispectral-image","display_name":"Multispectral image","score":0.9483131766319275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7288466691970825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7119066119194031},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7029133439064026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6109443306922913},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.48470163345336914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41340500116348267}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9483131766319275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7288466691970825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7119066119194031},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7029133439064026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6109443306922913},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.48470163345336914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41340500116348267},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/avss.2018.8639403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2018.8639403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-531057","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-531057.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/403157","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/403157","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:fraunhofer.de:N-531057","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-531057.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1606766208","https://openalex.org/W1762798876","https://openalex.org/W1874027545","https://openalex.org/W1910108985","https://openalex.org/W1955055330","https://openalex.org/W1959608418","https://openalex.org/W2025768430","https://openalex.org/W2099471712","https://openalex.org/W2144502914","https://openalex.org/W2151103935","https://openalex.org/W2177274842","https://openalex.org/W2188365844","https://openalex.org/W2608303904","https://openalex.org/W2612034263","https://openalex.org/W2613136699","https://openalex.org/W2768959015","https://openalex.org/W2770660904","https://openalex.org/W2951643333","https://openalex.org/W2963073614","https://openalex.org/W2963330667","https://openalex.org/W2963748588","https://openalex.org/W3123509264","https://openalex.org/W4289665802","https://openalex.org/W4320013936","https://openalex.org/W6639812447","https://openalex.org/W6640963894","https://openalex.org/W6687045409","https://openalex.org/W6737580951","https://openalex.org/W6745992979","https://openalex.org/W6746783216"],"related_works":["https://openalex.org/W2541791370","https://openalex.org/W2035976912","https://openalex.org/W2956043259","https://openalex.org/W2109974539","https://openalex.org/W2738084969","https://openalex.org/W2125927971","https://openalex.org/W2954664659","https://openalex.org/W2919889606","https://openalex.org/W1999222583","https://openalex.org/W2042311553"],"abstract_inverted_index":{"The":[0,138],"precise":[1],"determination":[2],"of":[3,7,15,23,40,64,90,102,104,112,125,146],"correspondences":[4,43],"between":[5],"pairs":[6],"images":[8],"is":[9,97],"still":[10,30],"a":[11,45,100,122],"fundamental":[12],"building":[13],"block":[14],"many":[16],"computer":[17],"vision":[18],"systems.":[19],"Despite":[20],"the":[21,38,62,68,82,88,91,105,119,158],"maturity":[22],"modern":[24],"feature":[25,54],"matchers,":[26],"multispectral":[27,46,126,173,176,179,182],"methods":[28,50,108],"are":[29,169],"lacking":[31],"robustness":[32,149],"and":[33,115,131,133,148,171],"speed.":[34],"We":[35],"focus":[36],"on":[37,87,121],"problem":[39],"finding":[41],"point":[42],"in":[44,144],"imaging":[47],"setup.":[48],"Most":[49],"aim":[51],"at":[52,61],"invariant":[53],"transforms":[55],"(e.g.":[56],"multi-modal":[57,153],"descriptors)":[58],"which":[59,76],"come":[60],"cost":[63],"reduced":[65],"discriminance.We":[66],"model":[67],"appearance":[69],"change":[70],"by":[71,167],"learning":[72],"an":[73],"image":[74,79],"transformation,":[75],"maps":[77],"one":[78],"modality":[80],"to":[81,151],"respective":[83],"target":[84],"image,":[85],"conditioned":[86],"data":[89],"original":[92],"spectral":[93],"band.":[94],"This":[95],"approach":[96,120,140,159],"coupled":[98],"with":[99,109],"pipeline":[101],"state":[103],"art":[106],"matching":[107],"view":[110],"synthesis":[111],"increasing":[113],"complexity":[114],"algorithm":[116],"run-time.We":[117],"evaluate":[118],"wide":[123],"spectrum":[124],"datasets":[127],"including":[128],"near-infrared,":[129],"color-infrared":[130],"night":[132],"day":[134],"thermal":[135],"infrared":[136],"imagery.":[137],"proposed":[139],"provides":[141],"significant":[142],"improvements":[143],"terms":[145],"speed":[147],"compared":[150],"standard":[152],"registration":[154],"approaches.":[155],"In":[156],"addition,":[157],"fits":[160],"very":[161],"well":[162],"into":[163],"existing":[164],"system":[165],"approaches":[166],"design.Applications":[168],"numerous":[170],"include":[172],"sensor":[174],"fusion,":[175],"odometry":[177],"systems,":[178],"segmentation":[180],"or":[181],"super-resolution":[183],"methods.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
