{"id":"https://openalex.org/W4324380356","doi":"https://doi.org/10.3390/a16030161","title":"Human Body Shapes Anomaly Detection and Classification Using Persistent Homology","display_name":"Human Body Shapes Anomaly Detection and Classification Using Persistent Homology","publication_year":2023,"publication_date":"2023-03-15","ids":{"openalex":"https://openalex.org/W4324380356","doi":"https://doi.org/10.3390/a16030161"},"language":"en","primary_location":{"id":"doi:10.3390/a16030161","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/a16030161","pdf_url":"https://www.mdpi.com/1999-4893/16/3/161/pdf?version=1678862885","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/3/161/pdf?version=1678862885","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104108010","display_name":"Steve de Rose","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118362","display_name":"Institut de Recherche Math\u00e9matique Avanc\u00e9e","ror":"https://ror.org/02hwgty18","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210118362","https://openalex.org/I4210141950","https://openalex.org/I68947357"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Steve de Rose","raw_affiliation_strings":["Computer Science and Digital Society Laboratory (LIST3N), Universit\u00e9 de Technologie de Troyes, 10004 Troyes Cedex, France","Institut de Recherche Math\u00e9matique Avanc\u00e9e (IRMA), CNRS UMR 7501, Universit\u00e9 de Strasbourg, 67084 Strasbourg Cedex, France"],"affiliations":[{"raw_affiliation_string":"Computer Science and Digital Society Laboratory (LIST3N), Universit\u00e9 de Technologie de Troyes, 10004 Troyes Cedex, France","institution_ids":["https://openalex.org/I140494188"]},{"raw_affiliation_string":"Institut de Recherche Math\u00e9matique Avanc\u00e9e (IRMA), CNRS UMR 7501, Universit\u00e9 de Strasbourg, 67084 Strasbourg Cedex, France","institution_ids":["https://openalex.org/I4210118362","https://openalex.org/I68947357","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054463429","display_name":"Philippe Meyer","orcid":"https://orcid.org/0000-0002-0618-2947"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Philippe Meyer","raw_affiliation_strings":["Computer Science and Digital Society Laboratory (LIST3N), Universit\u00e9 de Technologie de Troyes, 10004 Troyes Cedex, France"],"affiliations":[{"raw_affiliation_string":"Computer Science and Digital Society Laboratory (LIST3N), Universit\u00e9 de Technologie de Troyes, 10004 Troyes Cedex, France","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018958239","display_name":"Fr\u00e9d\u00e8ric Bertrand","orcid":"https://orcid.org/0000-0002-0837-8281"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Bertrand","raw_affiliation_strings":["Computer Science and Digital Society Laboratory (LIST3N), Universit\u00e9 de Technologie de Troyes, 10004 Troyes Cedex, France"],"affiliations":[{"raw_affiliation_string":"Computer Science and Digital Society Laboratory (LIST3N), Universit\u00e9 de Technologie de Troyes, 10004 Troyes Cedex, France","institution_ids":["https://openalex.org/I140494188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054463429"],"corresponding_institution_ids":["https://openalex.org/I140494188"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":963,"currency":"EUR","value_usd":1038},"fwci":0.2011,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49847385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":"3","first_page":"161","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9528999924659729,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12107","display_name":"Leprosy Research and Treatment","score":0.9236000180244446,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.8250950574874878},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.6151948571205139},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5832803249359131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5595361590385437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5007085800170898},{"id":"https://openalex.org/keywords/persistent-homology","display_name":"Persistent homology","score":0.4988093376159668},{"id":"https://openalex.org/keywords/body-shape","display_name":"Body shape","score":0.49181225895881653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4555858075618744},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.44220152497291565},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.42969322204589844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.357180118560791},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35625678300857544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2440153956413269}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8250950574874878},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.6151948571205139},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5832803249359131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5595361590385437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5007085800170898},{"id":"https://openalex.org/C2874115","wikidata":"https://www.wikidata.org/wiki/Q17099562","display_name":"Persistent homology","level":2,"score":0.4988093376159668},{"id":"https://openalex.org/C60627051","wikidata":"https://www.wikidata.org/wiki/Q1072278","display_name":"Body shape","level":2,"score":0.49181225895881653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4555858075618744},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.44220152497291565},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.42969322204589844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.357180118560791},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35625678300857544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2440153956413269}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/a16030161","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/a16030161","pdf_url":"https://www.mdpi.com/1999-4893/16/3/161/pdf?version=1678862885","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04429748v1","is_oa":true,"landing_page_url":"https://utt.hal.science/hal-04429748","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, 2023, 16 (3), pp.161. ⟨10.3390/a16030161⟩","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:302ec40a45fb44c9ba3dbec962458797","is_oa":true,"landing_page_url":"https://doaj.org/article/302ec40a45fb44c9ba3dbec962458797","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 16, Iss 3, p 161 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/3/161/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16030161","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 16; Issue 3; Pages: 161","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16030161","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/a16030161","pdf_url":"https://www.mdpi.com/1999-4893/16/3/161/pdf?version=1678862885","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4324380356.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1493454437","https://openalex.org/W1558985453","https://openalex.org/W1983788811","https://openalex.org/W1987971958","https://openalex.org/W1990368529","https://openalex.org/W1995055395","https://openalex.org/W2010203208","https://openalex.org/W2016381774","https://openalex.org/W2020428772","https://openalex.org/W2026940923","https://openalex.org/W2037817770","https://openalex.org/W2043012057","https://openalex.org/W2047158247","https://openalex.org/W2051224630","https://openalex.org/W2056761334","https://openalex.org/W2066965880","https://openalex.org/W2120970267","https://openalex.org/W2144044408","https://openalex.org/W2162977486","https://openalex.org/W2523068916","https://openalex.org/W2616973635","https://openalex.org/W2725792925","https://openalex.org/W2791080706","https://openalex.org/W2911106640","https://openalex.org/W3013843370","https://openalex.org/W3015234645","https://openalex.org/W3202868818","https://openalex.org/W3213195076","https://openalex.org/W4225271072","https://openalex.org/W4286750628","https://openalex.org/W4295878915","https://openalex.org/W4311875050","https://openalex.org/W4313592093","https://openalex.org/W6681677808","https://openalex.org/W6740202369"],"related_works":["https://openalex.org/W2544612547","https://openalex.org/W4224115430","https://openalex.org/W3089164710","https://openalex.org/W2330306728","https://openalex.org/W2377146387","https://openalex.org/W2765448157","https://openalex.org/W2768000265","https://openalex.org/W2391418209","https://openalex.org/W2807943795","https://openalex.org/W115948432"],"abstract_inverted_index":{"Accurate":[0],"sizing":[1],"systems":[2],"of":[3,9,13,83,92,100,115,157,200],"a":[4,109],"population":[5],"permit":[6,174],"the":[7,10,14,81,96,186,194,198],"minimization":[8],"production":[11],"costs":[12],"textile":[15],"apparel":[16],"industry":[17],"and":[18,40,120,138,148,160,165,180],"allow":[19],"firms":[20],"to":[21,32,37,52,60,126,143,176],"satisfy":[22],"their":[23,206],"customers.":[24],"Hence,":[25],"information":[26,71],"about":[27,72],"human":[28,42,54,84,93,178,188],"body":[29,55,85,127,189,201],"shapes":[30,73],"needs":[31],"be":[33],"extracted":[34,75],"in":[35,90,155,171],"order":[36],"examine,":[38],"compare":[39],"classify":[41,177],"morphologies.":[43],"In":[44,79,95],"this":[45,172],"paper,":[46],"we":[47],"use":[48],"topological":[49],"data":[50],"analysis":[51],"study":[53],"shapes.":[56],"Persistence":[57],"theory":[58],"applied":[59],"anthropometric":[61],"point":[62,190],"clouds":[63,191],"together":[64],"with":[65,135],"clustering":[66,116],"algorithms":[67],"show":[68],"that":[69],"relevant":[70],"is":[74,123],"by":[76],"persistent":[77],"homology.":[78],"particular,":[80],"homologies":[82],"points":[86],"have":[87],"interesting":[88],"interpretations":[89],"terms":[91,156],"anatomy.":[94],"first":[97],"place,":[98],"anomalies":[99,183],"scans":[101],"are":[102,141,153],"detected":[103],"using":[104],"complete-linkage":[105],"hierarchical":[106,133],"clusterings.":[107],"Then,":[108],"discrimination":[110],"index":[111],"shows":[112],"which":[113,152],"type":[114],"separates":[117],"gender":[118],"accurately":[119],"if":[121],"it":[122],"worth":[124],"restricting":[125],"trunks":[128],"or":[129,205],"not.":[130],"Finally,":[131],"Ward-linkage":[132],"clusterings":[134],"Davies\u2013Bouldin,":[136],"Dunn":[137],"Silhouette":[139],"indices":[140],"used":[142,170],"define":[144],"eight":[145],"male":[146],"morphotypes":[147],"seven":[149],"female":[150],"morphotypes,":[151],"different":[154],"weight":[158],"classes":[159],"ratios":[161],"between":[162],"bust,":[163],"waist":[164],"hip":[166],"circumferences.":[167],"The":[168],"techniques":[169],"work":[173],"us":[175],"bodies":[179],"detect":[181],"scan":[182],"directly":[184],"on":[185],"full":[187],"rather":[192],"than":[193],"usual":[195],"methods":[196],"involving":[197],"extraction":[199],"measurements":[202],"from":[203],"individuals":[204],"scans.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}