{"id":"https://openalex.org/W1936411984","doi":"https://doi.org/10.1109/ispa.2015.7306027","title":"Clustering and classifying deformations for Shape Regression applied to the human body","display_name":"Clustering and classifying deformations for Shape Regression applied to the human body","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1936411984","doi":"https://doi.org/10.1109/ispa.2015.7306027","mag":"1936411984"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2015.7306027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2015.7306027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5089319095","display_name":"Olivier Huynh","orcid":"https://orcid.org/0009-0008-8887-3821"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I4403386650","display_name":"Centre de Robotique","ror":"https://ror.org/0180r7w69","country_code":null,"type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4403386650","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Olivier Huynh","raw_affiliation_strings":["MINES ParisTech, Centre de robotique, Paris, France","MINES ParisTech, PSL - Research University, Centre de robotique, 60 Bd St Michel, 75006, France"],"affiliations":[{"raw_affiliation_string":"MINES ParisTech, Centre de robotique, Paris, France","institution_ids":["https://openalex.org/I70768539","https://openalex.org/I4403386650"]},{"raw_affiliation_string":"MINES ParisTech, PSL - Research University, Centre de robotique, 60 Bd St Michel, 75006, France","institution_ids":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4403386650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071519130","display_name":"Bogdan Stanciulescu","orcid":null},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I4403386650","display_name":"Centre de Robotique","ror":"https://ror.org/0180r7w69","country_code":null,"type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4403386650","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bogdan Stanciulescu","raw_affiliation_strings":["MINES ParisTech, Centre de robotique, Paris, France","MINES ParisTech, PSL - Research University, Centre de robotique, 60 Bd St Michel, 75006, France"],"affiliations":[{"raw_affiliation_string":"MINES ParisTech, Centre de robotique, Paris, France","institution_ids":["https://openalex.org/I70768539","https://openalex.org/I4403386650"]},{"raw_affiliation_string":"MINES ParisTech, PSL - Research University, Centre de robotique, 60 Bd St Michel, 75006, France","institution_ids":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4403386650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089319095"],"corresponding_institution_ids":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4403386650","https://openalex.org/I70768539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04266781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.996999979019165,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9850999712944031,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7467461824417114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403253078460693},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5776126384735107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4856482744216919},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4681558609008789},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39825332164764404},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.373171329498291},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2889559268951416},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28688669204711914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21135511994361877}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7467461824417114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403253078460693},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5776126384735107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4856482744216919},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4681558609008789},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39825332164764404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.373171329498291},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2889559268951416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28688669204711914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21135511994361877}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2015.7306027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2015.7306027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1521548765","https://openalex.org/W1988790447","https://openalex.org/W1990937109","https://openalex.org/W1998294030","https://openalex.org/W1999666191","https://openalex.org/W2070230130","https://openalex.org/W2077513643","https://openalex.org/W2082308025","https://openalex.org/W2085059118","https://openalex.org/W2152826865","https://openalex.org/W2161969291","https://openalex.org/W2172803778","https://openalex.org/W6631264160","https://openalex.org/W6650080228","https://openalex.org/W6682634897"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":{"In":[0],"this":[1,24,52,114],"paper,":[2],"we":[3,83],"present":[4],"an":[5],"approach":[6,53],"to":[7,37,47,105,124],"the":[8,17,27,30,39,48,56,61,67,77],"problem":[9,87],"of":[10,23,29,79,91],"aligning":[11],"a":[12,43,85,89],"Point":[13],"Distribution":[14],"Model":[15],"onto":[16],"human":[18,80],"body.":[19,81],"The":[20],"key":[21],"idea":[22],"paper":[25],"is":[26],"clustering":[28],"shape":[31],"displacements":[32,121],"into":[33,88],"classes,":[34],"in":[35,42,66],"order":[36],"group":[38],"residual":[40,120],"deformations":[41],"coherent":[44],"direction":[45],"according":[46],"image.":[49],"We":[50,71,93,112],"combine":[51],"by":[54,117],"employing":[55],"implicitly":[57],"encoded":[58],"constraints":[59],"and":[60,107,122],"double":[62],"cascade":[63],"pattern":[64],"defined":[65],"\u201cExplicit":[68],"Shape":[69],"Regression\u201d.":[70],"proceed":[72],"with":[73],"adjustments":[74],"adapted":[75],"for":[76],"context":[78],"Hence,":[82],"reformulate":[84],"regression":[86,110],"classification":[90,101,115],"displacements.":[92],"show":[94],"through":[95],"our":[96,126],"experiments":[97],"that":[98],"obtaining":[99],"minimal":[100],"errors":[102],"leads":[103],"effectively":[104],"faster":[106],"more":[108],"accurate":[109],"results.":[111],"enhance":[113],"process":[116],"conjointly":[118],"transforming":[119],"images":[123],"train":[125],"classifiers.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}