{"id":"https://openalex.org/W2609497155","doi":"https://doi.org/10.1109/icpr.2016.7899902","title":"Statistical consensus matching framework for image registration","display_name":"Statistical consensus matching framework for image registration","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609497155","doi":"https://doi.org/10.1109/icpr.2016.7899902","mag":"2609497155"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5074907515","display_name":"Micha Feigin","orcid":"https://orcid.org/0000-0001-7649-9539"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Micha Feigin","raw_affiliation_strings":["Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014989610","display_name":"Bryan J. Ranger","orcid":"https://orcid.org/0000-0002-4774-3587"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryan J. Ranger","raw_affiliation_strings":["Harvard-Mit Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Harvard-Mit Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091400134","display_name":"Brian Anthony","orcid":"https://orcid.org/0000-0001-6346-5276"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian W. Anthony","raw_affiliation_strings":["Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074907515"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78822562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1827","last_page":"1832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9972000122070312,"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/ransac","display_name":"RANSAC","score":0.8544105291366577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496533393859863},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.699303388595581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6892786622047424},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6125301718711853},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5727615356445312},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.564174473285675},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47743043303489685},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4717325270175934},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45803454518318176},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45242276787757874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4518985450267792},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.43471580743789673},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.42456620931625366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16249004006385803},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13877227902412415}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8544105291366577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496533393859863},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.699303388595581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6892786622047424},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6125301718711853},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5727615356445312},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.564174473285675},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47743043303489685},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4717325270175934},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45803454518318176},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45242276787757874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4518985450267792},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43471580743789673},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.42456620931625366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16249004006385803},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13877227902412415},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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":20,"referenced_works":["https://openalex.org/W1499695691","https://openalex.org/W1512208174","https://openalex.org/W2033819227","https://openalex.org/W2035379092","https://openalex.org/W2046434485","https://openalex.org/W2051755744","https://openalex.org/W2085261163","https://openalex.org/W2090518410","https://openalex.org/W2101544546","https://openalex.org/W2104391975","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2133442958","https://openalex.org/W2139103507","https://openalex.org/W2142655508","https://openalex.org/W2294219260","https://openalex.org/W2335589619","https://openalex.org/W2763831782","https://openalex.org/W6679909495","https://openalex.org/W6702880058"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2609306373","https://openalex.org/W4379801084","https://openalex.org/W2471562626","https://openalex.org/W2461863667","https://openalex.org/W2295804706","https://openalex.org/W3168515805"],"abstract_inverted_index":{"A":[0],"common":[1,63],"method":[2,178],"for":[3,15,83,106,136],"image":[4,109,171],"alignment":[5,110],"in":[6,20,94,115,165],"computer":[7],"vision":[8],"is":[9,24,112,142],"finding":[10,150],"the":[11,21,56,60,84,95,116,128,166,184,199],"maximum":[12,51,107],"consensus":[13,108],"transformation":[14],"a":[16,62,102],"set":[17],"of":[18,86,118,168,183,198],"features":[19,38,49,120],"images.":[22],"This":[23],"commonly":[25],"done":[26],"using":[27],"randomized":[28],"methods":[29,42,141,186],"such":[30,67],"as":[31,68],"RANSAC.":[32],"While":[33],"relatively":[34],"robust":[35,114],"when":[36],"strong":[37],"are":[39],"involved,":[40],"these":[41],"do":[43,79],"not":[44,54,80,122,147],"deal":[45],"well":[46],"with":[47,65,195],"ambiguous":[48,159],"where":[50,180],"likelihood":[52],"does":[53],"provide":[55,192],"best":[57],"match":[58],"between":[59],"images,":[61],"case":[64],"modalities":[66],"medical":[69,169],"ultrasound,":[70],"thermal":[71],"imaging":[72],"and":[73,157],"cross":[74],"modality":[75],"registration.":[76,96,172],"They":[77],"also":[78,154],"inherently":[81],"allow":[82],"application":[85],"external":[87,138],"knowledge":[88],"regarding":[89],"possible":[90],"configurations":[91],"to":[92,144,189,191],"aid":[93],"In":[97,173],"this":[98],"paper":[99],"we":[100,187],"present":[101],"novel":[103],"statistical":[104],"framework":[105,164],"which":[111],"both":[113],"presence":[117],"weak":[119],"(features":[121],"providing":[123,131],"one-to-one":[124],"matches)":[125],"while":[126],"at":[127],"same":[129],"time":[130],"an":[132],"inherent":[133],"natural":[134],"ability":[135],"integrating":[137],"knowledge.":[139],"Our":[140],"able":[143],"collect":[145],"information":[146],"only":[148],"from":[149,155],"good":[151],"matches,":[152],"but":[153],"improbable":[156],"partially":[158],"matches.":[160],"We":[161],"demonstrate":[162],"our":[163,174,177],"context":[167],"ultrasound":[170],"test":[175],"cases,":[176],"succeeded":[179],"other":[181],"state":[182],"art":[185],"compared":[188],"failed":[190],"satisfactory":[193],"results":[194],"over":[196],"17%":[197],"samples.":[200]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}