{"id":"https://openalex.org/W4253009869","doi":"https://doi.org/10.1109/tdpvt.2004.1335189","title":"A robust correlation measure for correspondence estimation","display_name":"A robust correlation measure for correspondence estimation","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W4253009869","doi":"https://doi.org/10.1109/tdpvt.2004.1335189"},"language":"en","primary_location":{"id":"doi:10.1109/tdpvt.2004.1335189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335189","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/A5064499129","display_name":"M. Trujillo","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"M. Trujillo","raw_affiliation_strings":["Electronic Engineering Department Queen Mary, University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department Queen Mary, University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063142578","display_name":"E. Izquierdo","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"E. Izquierdo","raw_affiliation_strings":["Electronic Engineering Department Queen Mary, University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department Queen Mary, University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064499129"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.7607,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68470982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"162"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.8137863278388977},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.7556142807006836},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.7219946384429932},{"id":"https://openalex.org/keywords/correlation-ratio","display_name":"Correlation ratio","score":0.6604440212249756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6350606679916382},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.612045407295227},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5281327366828918},{"id":"https://openalex.org/keywords/fisher-transformation","display_name":"Fisher transformation","score":0.4268264174461365},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.41994619369506836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3616793155670166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3362765908241272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.20791730284690857},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19512295722961426},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1036461591720581},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08484059572219849}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.8137863278388977},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.7556142807006836},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.7219946384429932},{"id":"https://openalex.org/C103423394","wikidata":"https://www.wikidata.org/wiki/Q5172857","display_name":"Correlation ratio","level":3,"score":0.6604440212249756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6350606679916382},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.612045407295227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5281327366828918},{"id":"https://openalex.org/C106366893","wikidata":"https://www.wikidata.org/wiki/Q5454862","display_name":"Fisher transformation","level":3,"score":0.4268264174461365},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.41994619369506836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3616793155670166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3362765908241272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20791730284690857},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19512295722961426},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1036461591720581},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08484059572219849}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdpvt.2004.1335189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335189","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1713915947","https://openalex.org/W1782560845","https://openalex.org/W1977948323","https://openalex.org/W1979846720","https://openalex.org/W2011891945","https://openalex.org/W2098204186","https://openalex.org/W2115520217","https://openalex.org/W2120364676","https://openalex.org/W2127441588","https://openalex.org/W2137017911","https://openalex.org/W2143402564","https://openalex.org/W2486686721","https://openalex.org/W6637401126","https://openalex.org/W6674794381"],"related_works":["https://openalex.org/W2073058374","https://openalex.org/W357196361","https://openalex.org/W3092478740","https://openalex.org/W2560331580","https://openalex.org/W1584110237","https://openalex.org/W2020694312","https://openalex.org/W4200439127","https://openalex.org/W2946560178","https://openalex.org/W3030957661","https://openalex.org/W2131844139"],"abstract_inverted_index":{"A":[0],"median":[1,23,74],"correlation":[2,19,36,55,61,75],"for":[3],"the":[4,17,22,26,53,59,64,73],"estimation":[5,81],"of":[6,25,66],"corresponding":[7],"points":[8],"in":[9,38,51],"stereovision":[10],"is":[11,14,45,56],"proposed.":[12],"It":[13],"based":[15],"on":[16],"normalised":[18,60],"coefficient":[20,62],"using":[21],"instead":[24],"mean.":[27],"Its":[28],"performance":[29],"appears":[30],"to":[31],"be":[32],"superior":[33],"than":[34],"conventional":[35],"specially":[37],"depth":[39],"discontinuities":[40],"image":[41],"areas.":[42],"This":[43],"conclusion":[44],"derived":[46],"from":[47],"an":[48],"empirical":[49],"evaluation":[50],"which":[52],"proposed":[54],"compared":[57],"with":[58],"and":[63,79],"sum":[65],"absolute":[67],"difference.":[68],"The":[69],"results":[70],"show":[71],"that":[72],"produces":[76],"higher":[77],"scores":[78],"lower":[80],"errors.":[82]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
