{"id":"https://openalex.org/W1558959052","doi":"https://doi.org/10.1007/978-3-540-24672-5_9","title":"Robust Fitting by Adaptive-Scale Residual Consensus","display_name":"Robust Fitting by Adaptive-Scale Residual Consensus","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1558959052","doi":"https://doi.org/10.1007/978-3-540-24672-5_9","mag":"1558959052"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-24672-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-24672-5_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Vic, 3800, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Vic, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031492664","display_name":"David Suter","orcid":"https://orcid.org/0000-0001-6306-3023"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Suter","raw_affiliation_strings":["Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Vic, 3800, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Vic, 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044594971"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":6.3203,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.96789424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9939000010490417,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/ransac","display_name":"RANSAC","score":0.90982586145401},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8733457922935486},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.736958920955658},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.724975049495697},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.6253766417503357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5852925777435303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5486860275268555},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5464115142822266},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5109233260154724},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49230659008026123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4235735237598419},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3738769292831421},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37342432141304016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3272251486778259},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3271487355232239},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3068225085735321},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27487456798553467},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10637485980987549},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10117831826210022}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.90982586145401},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8733457922935486},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.736958920955658},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.724975049495697},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.6253766417503357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5852925777435303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5486860275268555},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5464115142822266},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5109233260154724},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49230659008026123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4235735237598419},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3738769292831421},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37342432141304016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3272251486778259},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3271487355232239},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3068225085735321},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27487456798553467},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10637485980987549},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10117831826210022},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-24672-5_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-24672-5_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.84.9578","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.9578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.jhu.edu/~hwang/papers/ASRC_ECCV04.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1488261681","https://openalex.org/W1575387439","https://openalex.org/W1964443764","https://openalex.org/W2009159061","https://openalex.org/W2011891945","https://openalex.org/W2046434485","https://openalex.org/W2075690349","https://openalex.org/W2085261163","https://openalex.org/W2097338724","https://openalex.org/W2102747584","https://openalex.org/W2114430732","https://openalex.org/W2115213481","https://openalex.org/W2117551572","https://openalex.org/W2120933148","https://openalex.org/W2122212542","https://openalex.org/W2125239138","https://openalex.org/W2129249398","https://openalex.org/W2129905273","https://openalex.org/W2160840525","https://openalex.org/W2163002569","https://openalex.org/W2165801966","https://openalex.org/W2489822048","https://openalex.org/W2498631646","https://openalex.org/W2502277634","https://openalex.org/W3144878184","https://openalex.org/W4229530126","https://openalex.org/W4233014035","https://openalex.org/W4238717354"],"related_works":["https://openalex.org/W2091258128","https://openalex.org/W1983540692","https://openalex.org/W4313645560","https://openalex.org/W2046343964","https://openalex.org/W4379515847","https://openalex.org/W2216963642","https://openalex.org/W2283061017","https://openalex.org/W4210897550","https://openalex.org/W2107646698","https://openalex.org/W1539940077"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
