{"id":"https://openalex.org/W4231905682","doi":"https://doi.org/10.1109/tdpvt.2004.1335221","title":"Projection model, 3D reconstruction and rigid motion estimation from non-central catadioptric images","display_name":"Projection model, 3D reconstruction and rigid motion estimation from non-central catadioptric images","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W4231905682","doi":"https://doi.org/10.1109/tdpvt.2004.1335221"},"language":"en","primary_location":{"id":"doi:10.1109/tdpvt.2004.1335221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335221","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","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":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","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/A5060785558","display_name":"Nuno Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-1854-049X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"N. Goncalves","raw_affiliation_strings":["Institute of Systems and Robotics-Coimbra, University of Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Institute of Systems and Robotics-Coimbra, University of Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023181397","display_name":"H\u00e9lder Ara\u00fajo","orcid":"https://orcid.org/0000-0002-9544-424X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"H. Araujo","raw_affiliation_strings":["Institute of Systems and Robotics-Coimbra, University of Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Institute of Systems and Robotics-Coimbra, University of Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060785558"],"corresponding_institution_ids":["https://openalex.org/I76903346"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.30803571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"704","issue":null,"first_page":"325","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9998000264167786,"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":0.9962999820709229,"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/catadioptric-system","display_name":"Catadioptric system","score":0.9695984125137329},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7291170358657837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6776190400123596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268585920333862},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5845301151275635},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5204306244850159},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47328847646713257},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3341643214225769},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2559676170349121},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11946037411689758},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08525350689888}],"concepts":[{"id":"https://openalex.org/C153396827","wikidata":"https://www.wikidata.org/wiki/Q1142960","display_name":"Catadioptric system","level":3,"score":0.9695984125137329},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7291170358657837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6776190400123596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268585920333862},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5845301151275635},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5204306244850159},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47328847646713257},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3341643214225769},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2559676170349121},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11946037411689758},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08525350689888},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdpvt.2004.1335221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335221","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","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":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","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":27,"referenced_works":["https://openalex.org/W29275650","https://openalex.org/W131049486","https://openalex.org/W1581235021","https://openalex.org/W1605885907","https://openalex.org/W2001902860","https://openalex.org/W2019769120","https://openalex.org/W2033609949","https://openalex.org/W2057981735","https://openalex.org/W2062605698","https://openalex.org/W2072899396","https://openalex.org/W2112731915","https://openalex.org/W2112825363","https://openalex.org/W2118341165","https://openalex.org/W2120333476","https://openalex.org/W2124313187","https://openalex.org/W2150550075","https://openalex.org/W2156100165","https://openalex.org/W2157129786","https://openalex.org/W2160204468","https://openalex.org/W2167147065","https://openalex.org/W2169887425","https://openalex.org/W3021282624","https://openalex.org/W3106893712","https://openalex.org/W4250676953","https://openalex.org/W6678941962","https://openalex.org/W6682637305","https://openalex.org/W6683750860"],"related_works":["https://openalex.org/W2084759888","https://openalex.org/W2350925281","https://openalex.org/W2107738794","https://openalex.org/W2081721062","https://openalex.org/W1503278857","https://openalex.org/W2117804033","https://openalex.org/W165571211","https://openalex.org/W3138324983","https://openalex.org/W4300294291","https://openalex.org/W2004988775"],"abstract_inverted_index":{"This":[0],"paper":[1,86],"addresses":[2,88],"the":[3,21,27,42,50,71,81,89,92,133],"problem":[4,90],"of":[5,41,56,91,121],"rigid":[6],"motion":[7],"estimation":[8,61,82,148],"and":[9,35,128],"3D":[10,73,95],"reconstruction":[11],"in":[12,117],"vision":[13],"systems":[14,31],"where":[15],"it":[16],"is":[17,52],"possible":[18],"to":[19,79,97,130],"recover":[20],"incident":[22,67],"light":[23],"ray":[24],"direction":[25],"from":[26,46,94],"image":[28,98],"points.":[29],"Such":[30],"include":[32],"pinhole":[33],"cameras":[34,103],"catadioptric":[36,102],"cameras.":[37],"Given":[38],"two":[39,47],"images":[40,140],"same":[43,72],"scene":[44],"acquired":[45],"different":[48],"positions,":[49],"transformation":[51],"estimated":[53],"by":[54,108,143],"means":[55],"an":[57],"iterative":[58],"process.":[59],"The":[60,110],"process":[62],"aims":[63],"at":[64,70],"having":[65],"corresponding":[66],"rays":[68],"intersecting":[69],"point.":[74],"Geometrical":[75],"relationships":[76],"are":[77,141],"derived":[78],"support":[80],"method.":[83,149],"Furthermore,":[84],"this":[85],"also":[87],"mapping":[93],"points":[96],"points,":[99],"for":[100],"non-central":[101],"with":[104,138],"mirror":[105],"surfaces":[106],"given":[107],"quadrics.":[109],"projection":[111],"model":[112],"presented":[113],"can":[114],"be":[115],"expressed":[116],"a":[118],"non-linear":[119],"equation":[120],"only":[122],"one":[123],"variable,":[124],"being":[125],"more":[126],"stable":[127],"easier":[129],"solve":[131],"than":[132],"classical":[134],"Snell's":[135],"law.":[136],"Experiments":[137],"real":[139],"presented,":[142],"using":[144],"simulated":[145],"annealing":[146],"as":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
