{"id":"https://openalex.org/W3190514958","doi":"https://doi.org/10.1007/s00138-021-01234-1","title":"Partitioned iterated function systems by regression models for head pose estimation","display_name":"Partitioned iterated function systems by regression models for head pose estimation","publication_year":2021,"publication_date":"2021-08-04","ids":{"openalex":"https://openalex.org/W3190514958","doi":"https://doi.org/10.1007/s00138-021-01234-1","mag":"3190514958"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-021-01234-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-021-01234-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-021-01234-1.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00138-021-01234-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038161482","display_name":"Andrea F. Abate","orcid":"https://orcid.org/0000-0002-0472-0318"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea F. Abate","raw_affiliation_strings":["Computer Science Department, University of Salerno, Fisciano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Paola Barra","orcid":null},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paola Barra","raw_affiliation_strings":["Computer Science Department, University of Salerno, Fisciano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074877643","display_name":"Chiara Pero","orcid":"https://orcid.org/0000-0002-5517-2198"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Chiara Pero","raw_affiliation_strings":["Computer Science Department, University of Salerno, Fisciano, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5517-2198","affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069802656","display_name":"Maurizio Tucci","orcid":null},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Tucci","raw_affiliation_strings":["Computer Science Department, University of Salerno, Fisciano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074877643"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.2911,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55696203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"32","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937999844551086,"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/robustness","display_name":"Robustness (evolution)","score":0.762004554271698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659789085388184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6623890399932861},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.5561274290084839},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.553939163684845},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5459694862365723},{"id":"https://openalex.org/keywords/iterated-function-system","display_name":"Iterated function system","score":0.5298765897750854},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5217998027801514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.430429071187973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42590975761413574},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41276684403419495},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.35114508867263794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23038619756698608},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1611882448196411}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.762004554271698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659789085388184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6623890399932861},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.5561274290084839},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.553939163684845},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5459694862365723},{"id":"https://openalex.org/C168460219","wikidata":"https://www.wikidata.org/wiki/Q1502167","display_name":"Iterated function system","level":3,"score":0.5298765897750854},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5217998027801514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.430429071187973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42590975761413574},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41276684403419495},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.35114508867263794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23038619756698608},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1611882448196411},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s00138-021-01234-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-021-01234-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-021-01234-1.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},{"id":"pmh:oai:ricerca.uniparthenope.it:11367/109676","is_oa":false,"landing_page_url":"http://hdl.handle.net/11367/109676","pdf_url":null,"source":{"id":"https://openalex.org/S4377196432","display_name":"CINECA IRIS Institutial research information system (Parthenope University of Naples)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183638586","host_organization_name":"Parthenope University of Naples","host_organization_lineage":["https://openalex.org/I183638586"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:79705","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/79705","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"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":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s00138-021-01234-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-021-01234-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-021-01234-1.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324133","display_name":"Universit\u00e0 degli Studi di Salerno","ror":"https://ror.org/0192m2k53"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3190514958.pdf","grobid_xml":"https://content.openalex.org/works/W3190514958.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W251438302","https://openalex.org/W1151238758","https://openalex.org/W1598707800","https://openalex.org/W1663973292","https://openalex.org/W1974744233","https://openalex.org/W1980073965","https://openalex.org/W2009086942","https://openalex.org/W2012885984","https://openalex.org/W2042001204","https://openalex.org/W2047875689","https://openalex.org/W2056741100","https://openalex.org/W2077752481","https://openalex.org/W2087681821","https://openalex.org/W2101234009","https://openalex.org/W2164598857","https://openalex.org/W2265959009","https://openalex.org/W2293005114","https://openalex.org/W2330274280","https://openalex.org/W2342204193","https://openalex.org/W2398853504","https://openalex.org/W2589255576","https://openalex.org/W2738279610","https://openalex.org/W2798553619","https://openalex.org/W2923153064","https://openalex.org/W2945019305","https://openalex.org/W2946709531","https://openalex.org/W2949662773","https://openalex.org/W2957744218","https://openalex.org/W2963377935","https://openalex.org/W2963644257","https://openalex.org/W2964158261","https://openalex.org/W3005743304","https://openalex.org/W3013295091","https://openalex.org/W3015671815","https://openalex.org/W3092537075","https://openalex.org/W3104792420","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1665503308","https://openalex.org/W2325470895","https://openalex.org/W1561687547","https://openalex.org/W2378289559","https://openalex.org/W2369480152","https://openalex.org/W1681127796","https://openalex.org/W4287710035","https://openalex.org/W1967016391","https://openalex.org/W2080063910","https://openalex.org/W2374588602"],"abstract_inverted_index":{"Abstract":[0],"Head":[1],"pose":[2],"estimation":[3],"represents":[4],"an":[5,20],"important":[6],"computer":[7],"vision":[8],"technique":[9],"in":[10,74],"different":[11,45],"contexts":[12],"where":[13],"image":[14,67],"acquisition":[15],"cannot":[16],"be":[17],"controlled":[18],"by":[19],"operator,":[21],"making":[22],"face":[23],"recognition":[24],"of":[25,112],"unknown":[26],"subjects":[27],"more":[28],"accurate":[29],"and":[30,58,97,99,117],"efficient.":[31],"In":[32],"this":[33],"work,":[34],"starting":[35],"from":[36],"partitioned":[37],"iterated":[38],"function":[39],"systems":[40],"to":[41,50,76],"identify":[42,77],"the":[43,52,65,100,110,113],"pose,":[44],"regression":[46,82],"models":[47],"are":[48,102],"adopted":[49],"predict":[51],"angular":[53],"value":[54],"errors":[55],"(yaw,":[56],"pitch":[57],"roll":[59],"axes,":[60],"respectively).":[61],"This":[62],"method":[63],"combines":[64],"fractal":[66],"compression":[68],"characteristics,":[69],"such":[70],"as":[71],"self-similar":[72],"structures":[73],"order":[75],"similar":[78],"head":[79],"rotation,":[80],"with":[81,104],"analysis":[83],"prediction.":[84],"The":[85],"experimental":[86],"evaluation":[87],"is":[88],"performed":[89],"on":[90],"widely":[91],"used":[92],"benchmark":[93],"datasets,":[94],"i.e.,":[95],"Biwi":[96],"AFLW2000,":[98],"results":[101],"compared":[103],"many":[105],"existing":[106],"state-of-the-art":[107],"methods,":[108],"demonstrating":[109],"robustness":[111],"proposed":[114],"fusion":[115],"approach":[116],"excellent":[118],"performance.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
