{"id":"https://openalex.org/W2072022716","doi":"https://doi.org/10.1109/wacv.2013.6475046","title":"Fusing appearance and geometric constraints for estimating the epipolar geometry","display_name":"Fusing appearance and geometric constraints for estimating the epipolar geometry","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2072022716","doi":"https://doi.org/10.1109/wacv.2013.6475046","mag":"2072022716"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2013.6475046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6475046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","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/A5037975902","display_name":"Miguel Louren\u00e7o","orcid":null},"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"]},{"id":"https://openalex.org/I4210125590","display_name":"Institute for Systems Engineering and Computers","ror":"https://ror.org/033wn8m60","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Miguel Lourenco","raw_affiliation_strings":["Institute of Systems and Robotics, University of Coimbra, Portugal","Inst. of Syst. & Robot., Univ. of Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Institute of Systems and Robotics, University of Coimbra, Portugal","institution_ids":["https://openalex.org/I4210125590","https://openalex.org/I76903346"]},{"raw_affiliation_string":"Inst. of Syst. & Robot., Univ. of Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"last","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"]},{"id":"https://openalex.org/I4210125590","display_name":"Institute for Systems Engineering and Computers","ror":"https://ror.org/033wn8m60","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Nuno Goncalves","raw_affiliation_strings":["Institute of Systems and Robotics, University of Coimbra, Portugal","Inst. of Syst. & Robot., Univ. of Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Institute of Systems and Robotics, University of Coimbra, Portugal","institution_ids":["https://openalex.org/I4210125590","https://openalex.org/I76903346"]},{"raw_affiliation_string":"Inst. of Syst. & Robot., Univ. 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/A5037975902"],"corresponding_institution_ids":["https://openalex.org/I4210125590","https://openalex.org/I76903346"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13621625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/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":0.9994999766349792,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.9820101261138916},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.7908871173858643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7239601612091064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.697385311126709},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6912057399749756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787232518196106},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5410687923431396},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5018651485443115},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4637961983680725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4022015631198883}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.9820101261138916},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.7908871173858643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7239601612091064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.697385311126709},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6912057399749756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787232518196106},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5410687923431396},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5018651485443115},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4637961983680725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4022015631198883},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2013.6475046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2013.6475046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W216012752","https://openalex.org/W1575387439","https://openalex.org/W1578412938","https://openalex.org/W1598123022","https://openalex.org/W1873846702","https://openalex.org/W1964667358","https://openalex.org/W1967190570","https://openalex.org/W1980911747","https://openalex.org/W1984190176","https://openalex.org/W2012508283","https://openalex.org/W2033819227","https://openalex.org/W2041812800","https://openalex.org/W2046434485","https://openalex.org/W2085261163","https://openalex.org/W2102481828","https://openalex.org/W2106199912","https://openalex.org/W2106530324","https://openalex.org/W2113914039","https://openalex.org/W2129201358","https://openalex.org/W2133759223","https://openalex.org/W2135245997","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2167276139","https://openalex.org/W2177274842","https://openalex.org/W6608647691","https://openalex.org/W6639172106","https://openalex.org/W6681554747"],"related_works":["https://openalex.org/W1533134004","https://openalex.org/W1990472106","https://openalex.org/W2755641224","https://openalex.org/W2394408411","https://openalex.org/W4221132921","https://openalex.org/W4210643770","https://openalex.org/W2336873990","https://openalex.org/W2106530324","https://openalex.org/W2364478685","https://openalex.org/W2134012606"],"abstract_inverted_index":{"Recovering":[0],"the":[1,37,51,54,77,95,115,130,145],"epipolar":[2,116],"geometry":[3],"of":[4,53,110,129,132,151,155],"a":[5,72,102],"stereo":[6],"image":[7,27,44,56,83],"pair":[8],"is":[9,91],"important":[10],"for":[11,18,35,63,75],"many":[12],"computer":[13],"and":[14,85,112,159],"robotic":[15],"vision":[16],"systems,":[17],"performing":[19],"motion":[20],"recovering,":[21],"3D":[22],"reconstruction":[23],"and,":[24,46],"more":[25],"recently,":[26],"retrieval":[28],"from":[29],"large":[30],"databases.":[31],"Most":[32],"state-of-the-art":[33,147],"methods":[34,148],"estimating":[36,76],"fundamental":[38,78],"matrix":[39,79],"rely":[40],"solely":[41],"in":[42,149],"putative":[43],"correspondences,":[45],"therefore,":[47],"heavily":[48],"depend":[49],"on":[50,81],"capability":[52],"low-level":[55],"features":[57],"to":[58,114],"provide":[59],"enough":[60],"distinctiveness":[61],"capabilities":[62],"establishing":[64],"correct":[65,156],"matches.":[66],"In":[67],"this":[68],"paper":[69],"we":[70],"present":[71],"robust":[73],"method":[74],"based":[80],"all":[82],"features,":[84],"not":[86],"only":[87],"matching":[88],"points.":[89],"This":[90],"done":[92],"by":[93],"selecting":[94],"best":[96],"correspondent":[97],"keypoints":[98,111],"between":[99],"views":[100],"through":[101],"proper":[103],"weighting":[104,120],"function":[105,134],"that":[106,141],"fuses":[107],"local":[108],"appearance":[109],"distance":[113,119],"lines.":[117],"Several":[118],"functions":[121],"are":[122],"compared,":[123],"with":[124],"an":[125],"intuitive":[126],"theoretical":[127],"analysis":[128],"role":[131],"each":[133],"parametrization":[135],"being":[136],"analyzed.":[137],"Experimental":[138],"evidence":[139],"shows":[140],"our":[142],"approach":[143],"outperforms":[144],"current":[146],"terms":[150],"error":[152],"magnitude,":[153],"number":[154],"matches":[157],"provided":[158],"computational":[160],"time.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}