{"id":"https://openalex.org/W2120933148","doi":"https://doi.org/10.1109/iccv.2003.1238441","title":"Robust regression with projection based M-estimators","display_name":"Robust regression with projection based M-estimators","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2120933148","doi":"https://doi.org/10.1109/iccv.2003.1238441","mag":"2120933148"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2003.1238441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","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/A5100456776","display_name":"Haifeng Chen","orcid":"https://orcid.org/0000-0002-1318-6583"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haifeng Chen","raw_affiliation_strings":["Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA","[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037968321","display_name":"Meer","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meer","raw_affiliation_strings":["Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA","[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA]","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100456776"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":12.8568,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.98761792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"878","last_page":"885 vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/ransac","display_name":"RANSAC","score":0.9228088855743408},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7569335699081421},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5884295701980591},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5250482559204102},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.516814112663269},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.504815399646759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5019149780273438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4912821650505066},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.4737563729286194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47284677624702454},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.4561225473880768},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.45226210355758667},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.4443410634994507},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3837421238422394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3325349688529968},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24476507306098938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24103811383247375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08572837710380554},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.0722898542881012}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9228088855743408},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7569335699081421},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5884295701980591},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5250482559204102},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.516814112663269},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.504815399646759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5019149780273438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4912821650505066},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.4737563729286194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47284677624702454},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.4561225473880768},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.45226210355758667},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.4443410634994507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3837421238422394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3325349688529968},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24476507306098938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24103811383247375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08572837710380554},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0722898542881012},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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":4,"locations":[{"id":"doi:10.1109/iccv.2003.1238441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.10.1574","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.1574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.caip.rutgers.edu/riul/research/papers/pdf/pbm.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.11.145","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.caip.rutgers.edu/riul/research/papers/ps/pbm.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.476.2452","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.476.2452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lear.inrialpes.fr/people/triggs/events/iccv03/cdrom/iccv03/0878_chen.pdf","raw_type":"text"}],"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/W1509069826","https://openalex.org/W1526121309","https://openalex.org/W1575387439","https://openalex.org/W1873846702","https://openalex.org/W1999024797","https://openalex.org/W2046434485","https://openalex.org/W2077626098","https://openalex.org/W2085261163","https://openalex.org/W2108502244","https://openalex.org/W2129249398","https://openalex.org/W2132098499","https://openalex.org/W2165584048","https://openalex.org/W2170120409","https://openalex.org/W2316893165","https://openalex.org/W2498631646","https://openalex.org/W2795528501","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W4238717354","https://openalex.org/W4238957295","https://openalex.org/W4243493583","https://openalex.org/W4285719527","https://openalex.org/W6631728924","https://openalex.org/W6639172106","https://openalex.org/W6676139408","https://openalex.org/W6679547327","https://openalex.org/W6824780776"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W2981196697","https://openalex.org/W3012182724","https://openalex.org/W1969706733","https://openalex.org/W2118690239","https://openalex.org/W2182415409","https://openalex.org/W2774720206","https://openalex.org/W2082751785","https://openalex.org/W2290916349"],"abstract_inverted_index":{"The":[0,42],"robust":[1,32],"regression":[2],"techniques":[3,67],"in":[4,11,79,90],"the":[5,34,48,56,59,70,91],"RANSAC":[6,28,66],"family":[7],"are":[8],"popular":[9],"today":[10],"computer":[12],"vision,":[13],"but":[14],"their":[15],"performance":[16,57],"depends":[17],"on":[18],"a":[19,37,73],"user":[20],"supplied":[21],"threshold.":[22],"We":[23],"eliminate":[24],"this":[25],"drawback":[26],"of":[27,58,65],"by":[29],"reformulating":[30],"another":[31],"method,":[33],"M-estimator,":[35],"as":[36],"projection":[38,43],"pursuit":[39],"optimization":[40],"problem.":[41],"based":[44],"pbM-estimator":[45,60],"automatically":[46],"derives":[47],"threshold":[49],"from":[50],"univariate":[51],"kernel":[52],"density":[53],"estimates.":[54],"Nevertheless,":[55],"equals":[61],"or":[62],"exceeds":[63],"that":[64],"tuned":[68],"to":[69],"optimal":[71],"threshold,":[72],"value":[74],"which":[75],"is":[76],"never":[77],"available":[78],"practice.":[80],"Experiments":[81],"were":[82],"performed":[83],"both":[84],"with":[85],"synthetic":[86],"and":[87,94],"real":[88],"data":[89],"affine":[92],"motion":[93],"fundamental":[95],"matrix":[96],"estimation":[97],"tasks.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}