{"id":"https://openalex.org/W2137338497","doi":null,"title":"Improving Accuracy of 3-D Reconstruction by Classifying Correspondences","display_name":"Improving Accuracy of 3-D Reconstruction by Classifying Correspondences","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2137338497","mag":"2137338497"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.8964","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.8964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://b2.cvl.iis.u-tokyo.ac.jp/mva/proceedings/2007CD/papers/02-01.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5028214437","display_name":"Yusuke Takanashi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuke Takanashi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016825995","display_name":"Yohei Shibata","orcid":"https://orcid.org/0000-0002-9037-5433","observed_orcids":["https://orcid.org/0000-0002-9037-5433"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yohei Shibata","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9037-5433","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110470134","display_name":"Yasushi Kanazawa","orcid":"https://orcid.org/0009-0007-5925-2869","observed_orcids":["https://orcid.org/0009-0007-5925-2869"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasushi Kanazawa","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9868000149726868,"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":0.9868000149726868,"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":0.0027000000700354576,"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":0.002400000113993883,"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/3d-reconstruction","display_name":"3D reconstruction","score":0.9520000219345093},{"id":"https://openalex.org/keywords/expectation-maximization-algorithm","display_name":"expectation-maximization algorithm","score":0.6200000047683716},{"id":"https://openalex.org/keywords/one-class-svm","display_name":"one-class support vector machine","score":0.9440000057220459},{"id":"https://openalex.org/keywords/feature-space","display_name":"feature space","score":0.4819999933242798},{"id":"https://openalex.org/keywords/automatic-image-matching","display_name":"automatic image matching","score":0.5389999747276306},{"id":"https://openalex.org/keywords/stereo-matching","display_name":"stereo matching","score":0.3919999897480011}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7786718606948853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6617292761802673},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6596362590789795},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5750278234481812},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5523890256881714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5150339603424072},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5076051950454712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4767140746116638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46676015853881836},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4421072006225586},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43725624680519104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06294938921928406},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.8964","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.8964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://b2.cvl.iis.u-tokyo.ac.jp/mva/proceedings/2007CD/papers/02-01.pdf","raw_type":"text"},{"id":"mag:2137338497","doi":null,"is_oa":false,"landing_page_url":"http://b2.cvl.iis.u-tokyo.ac.jp/mva/proceedings/2007CD/papers/02-01.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-c","jufo-2","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Machine Vision and Applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W177069020","https://openalex.org/W988466463","https://openalex.org/W1510899807","https://openalex.org/W1535448961","https://openalex.org/W1562973958","https://openalex.org/W2011891945","https://openalex.org/W2075221453","https://openalex.org/W2085261163","https://openalex.org/W2121780856","https://openalex.org/W2129249398","https://openalex.org/W2132870739","https://openalex.org/W2151103935"],"related_works":["https://openalex.org/W1981526027","https://openalex.org/W7097428179","https://openalex.org/W2140433270","https://openalex.org/W2516890391","https://openalex.org/W2737408198","https://openalex.org/W2369088507","https://openalex.org/W2784363284","https://openalex.org/W2522788483","https://openalex.org/W7095481327","https://openalex.org/W2015440410"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,6,31,47,76,79],"show":[4,77],"that":[5,78],"can":[7,80],"improve":[8,81],"accuracies":[9,83],"of":[10,84],"3-D":[11,85],"reconstructions":[12,86],"with":[13,51,64],"uncalibrated":[14],"stereo":[15],"by":[16,26,87],"classifying":[17,88],"correspondences":[18,25,34],"between":[19],"two":[20],"images.":[21],"After":[22],"obtaining":[23],"initial":[24],"an":[27],"automatic":[28],"matching":[29],"program,":[30],"classify":[32],"the":[33,82],"into":[35],"inliers":[36],"and":[37,57,61],"outliers":[38],"in":[39],"a":[40,54,65],"multi-dimensional":[41],"feature":[42],"space.":[43],"For":[44],"doing":[45],"this,":[46],"introduce":[48],"four":[49],"quantities":[50],"respect":[52],"to":[53,69],"corresponding":[55],"pair":[56],"adopt":[58],"EM":[59],"algorithm":[60],"oneclass":[62],"SVM":[63],"special":[66],"kernel":[67],"fitted":[68],"their":[70],"characteristics.":[71],"By":[72],"real":[73],"image":[74],"examples,":[75],"correspondences.":[89],"1":[90]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}