{"id":"https://openalex.org/W2102657595","doi":"https://doi.org/10.1109/icassp.2006.1661429","title":"Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models","display_name":"Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2102657595","doi":"https://doi.org/10.1109/icassp.2006.1661429","mag":"2102657595"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1661429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031106777","display_name":"St\u00e9phanie Allassonni\u00e8re","orcid":"https://orcid.org/0000-0002-5692-4945"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Allassonniere","raw_affiliation_strings":["LAGA, Universit\u00e9 Paris 13, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAGA, Universit\u00e9 Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279","https://openalex.org/I4210102686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088013122","display_name":"Estelle Kuhn","orcid":"https://orcid.org/0000-0002-1236-8190"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Kuhn","raw_affiliation_strings":["LAGA, Universit\u00e9 Paris 13, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAGA, Universit\u00e9 Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091279","https://openalex.org/I4210102686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040982399","display_name":"Alain Trouv\u00e9","orcid":"https://orcid.org/0000-0002-8298-5995"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Trouve","raw_affiliation_strings":["LAGA, Paris 13 Univ., France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAGA, Paris 13 Univ., France","institution_ids":["https://openalex.org/I4210091279","https://openalex.org/I4210102686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005409465","display_name":"Yali Amit","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Amit","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238","https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8127,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69257082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"V","last_page":"V"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.998199999332428,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.998199999332428,"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/T12417","display_name":"Morphological variations and asymmetry","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9887999892234802,"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/computation","display_name":"Computation","score":0.7130692005157471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6671931743621826},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6012277603149414},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5747262239456177},{"id":"https://openalex.org/keywords/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.5623910427093506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5553551912307739},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5481408834457397},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5460271835327148},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5446996688842773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5115460157394409},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4800492525100708},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4312891960144043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38910552859306335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34447038173675537}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7130692005157471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671931743621826},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6012277603149414},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5747262239456177},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.5623910427093506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5553551912307739},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5481408834457397},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5460271835327148},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5446996688842773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5115460157394409},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4800492525100708},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4312891960144043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38910552859306335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34447038173675537},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2006.1661429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.1484","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.1484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.jhu.edu/~allasson/icassp1.3.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":7,"referenced_works":["https://openalex.org/W2032882750","https://openalex.org/W2049633694","https://openalex.org/W2055742299","https://openalex.org/W2076114154","https://openalex.org/W2078238424","https://openalex.org/W2115245436","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"The":[0],"link":[1],"between":[2],"Bayesian":[3],"and":[4,27,35,61,66,75],"variational":[5],"approaches":[6],"is":[7,39],"well":[8],"known":[9],"in":[10,15,17,51,78],"the":[11,18,36,40,71,79],"image":[12],"analysis":[13],"community":[14],"particular":[16],"context":[19],"of":[20,42,58],"deformable":[21,59],"models.":[22],"However,":[23],"true":[24],"generative":[25],"models":[26,80],"consistent":[28,67],"estimation":[29,68],"procedures":[30],"are":[31],"usually":[32],"not":[33],"available":[34],"current":[37],"trend":[38],"computation":[41],"statistics":[43],"mainly":[44],"based":[45],"on":[46],"PCA":[47],"analysis.":[48],"We":[49],"advocate":[50],"this":[52],"paper":[53],"a":[54],"careful":[55],"statistical":[56],"modeling":[57],"structures":[60],"we":[62],"propose":[63],"an":[64],"effective":[65],"algorithm":[69],"for":[70],"various":[72],"parameters":[73],"(geometric":[74],"photometric)":[76],"appearing":[77]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}