{"id":"https://openalex.org/W3047701037","doi":"https://doi.org/10.1109/icip40778.2020.9190656","title":"3D Sparse Deformation Signature for Dynamic Face Recognition","display_name":"3D Sparse Deformation Signature for Dynamic Face Recognition","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3047701037","doi":"https://doi.org/10.1109/icip40778.2020.9190656","mag":"3047701037"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://orbilu.uni.lu/handle/10993/43985","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079812103","display_name":"Abd El Rahman Shabayek","orcid":"https://orcid.org/0000-0001-8730-3765"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Abd El Rahman Shabayek","raw_affiliation_strings":["SnT, University of Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SnT, University of Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083368272","display_name":"Djamila Aouada","orcid":"https://orcid.org/0000-0002-7576-2064"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Djamila Aouada","raw_affiliation_strings":["SnT, University of Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SnT, University of Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034520451","display_name":"Kseniya Cherenkova","orcid":null},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Kseniya Cherenkova","raw_affiliation_strings":["SnT, University of Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SnT, University of Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052767879","display_name":"Gleb Gusev","orcid":"https://orcid.org/0009-0003-7298-1848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gleb Gusev","raw_affiliation_strings":["Artec 3D"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artec 3D","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4272,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6833078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"50","issue":null,"first_page":"2835","last_page":"2839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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":0.9995999932289124,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10828","display_name":"Biometric Identification and Security","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.749099612236023},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6754947900772095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5943721532821655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5881431698799133},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.564441978931427},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5636453628540039},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5571733713150024},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5422803163528442},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5338026285171509},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.44623759388923645},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41797661781311035},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37728163599967957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.185237854719162},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09515869617462158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749099612236023},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6754947900772095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5943721532821655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5881431698799133},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.564441978931427},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5636453628540039},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5571733713150024},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5422803163528442},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5338026285171509},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.44623759388923645},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41797661781311035},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37728163599967957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.185237854719162},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09515869617462158},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip40778.2020.9190656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/43985","is_oa":true,"landing_page_url":"http://orbilu.uni.lu/handle/10993/43985","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"27th IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi 25-28 October 2020 (2020-10); 27th IEEE International Conference on Image Processing (ICIP 2020), from 25-10-2020 to 28-10-2020","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:orbilu.uni.lu:10993/43985","is_oa":true,"landing_page_url":"http://orbilu.uni.lu/handle/10993/43985","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"27th IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi 25-28 October 2020 (2020-10); 27th IEEE International Conference on Image Processing (ICIP 2020), from 25-10-2020 to 28-10-2020","raw_type":"conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W572355794","https://openalex.org/W820315868","https://openalex.org/W1819285909","https://openalex.org/W2098466221","https://openalex.org/W2109247271","https://openalex.org/W2137306662","https://openalex.org/W2144562310","https://openalex.org/W2166335841","https://openalex.org/W2265959009","https://openalex.org/W2354701395","https://openalex.org/W2542323081","https://openalex.org/W2602244503","https://openalex.org/W2604524889","https://openalex.org/W2620879480","https://openalex.org/W2625094192","https://openalex.org/W2744972750","https://openalex.org/W2769666294","https://openalex.org/W2784519437","https://openalex.org/W2788741149","https://openalex.org/W2798724621","https://openalex.org/W2883221003","https://openalex.org/W2905441841","https://openalex.org/W2907743195","https://openalex.org/W2910603373","https://openalex.org/W2963694625","https://openalex.org/W2963865528","https://openalex.org/W3015732809","https://openalex.org/W6680591342","https://openalex.org/W6748918544","https://openalex.org/W6750671047","https://openalex.org/W6766047865"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W4221148444","https://openalex.org/W4226054107","https://openalex.org/W4387678054","https://openalex.org/W4306784355","https://openalex.org/W1973963881","https://openalex.org/W1580457994","https://openalex.org/W2912726270"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,16,30,49,54,133],"novel":[4,84],"compact":[5],"and":[6,91,110,117],"memory":[7],"efficient":[8],"Sparse":[9],"3D":[10,18,22,38,56,197],"Deformation":[11,57],"Signature":[12,58],"(S3DS)":[13],"to":[14,53,74,103,139,185],"represent":[15],"sparse":[17,123],"deformation":[19,42],"signal":[20],"for":[21,79],"Dynamic":[23],"Face":[24],"Recognition.":[25],"S3DS":[26,68,100,154],"is":[27,44,61,101],"based":[28,62],"on":[29,63,159],"non-linear":[31],"6D-space":[32],"representation":[33],"that":[34,60],"secures":[35],"physically":[36],"plausible":[37],"deformations.":[39],"A":[40],"unique":[41,71],"indicator":[43],"computed":[45],"per":[46],"triangle":[47],"in":[48,93,121,187,195],"triangulated":[50],"mesh,":[51],"thanks":[52],"recent":[55],"(3DS)":[59],"Lie":[64],"Bodies.":[65],"The":[66,83],"proposed":[67],"sparsely":[69],"concatenates":[70],"triangular":[72],"indicators":[73],"construct":[75],"the":[76,140,143,181,196],"facial":[77,198],"signature":[78],"each":[80],"temporal":[81],"instance.":[82],"descriptor":[85,199],"shall":[86],"benefit":[87],"domains":[88],"like":[89,107],"surveillance":[90],"security":[92,105],"providing":[94],"non-intrusive":[95],"bio-metric":[96],"measurements.":[97],"By":[98],"construction,":[99],"resistant":[102],"common":[104],"attacks":[106],"presentation,":[108],"template":[109],"adversarial":[111],"attacks.":[112],"Two":[113],"dynamic":[114],"datasets":[115],"(BU4DFE":[116],"COMA)":[118],"were":[119],"examined":[120],"various":[122],"concatenation":[124],"settings.":[125],"Using":[126],"high":[127,192],"reduction":[128,149,193],"rates":[129,150,194],"of":[130,142,151,179],"$\\approx":[131,152],"500$,":[132],"first":[134],"rank":[135],"recognition":[136],"accuracy":[137,182],"similar":[138],"state":[141],"art":[144],"was":[145],"achieved.":[146],"At":[147],"low":[148],"40$,":[153],"outperformed":[155],"most":[156],"existing":[157,170],"literature":[158],"BU4DFE":[160],"achieving":[161],"99.92%.":[162],"On":[163],"COMA,":[164],"it":[165],"achieved":[166],"99.93%":[167],"which":[168],"outperforms":[169],"literature.":[171],"In":[172],"an":[173],"open-world":[174],"experimental":[175],"setup,":[176],"using":[177],"thousands":[178],"distractors,":[180],"reached":[183],"up":[184],"100%":[186],"detecting":[188],"unseen":[189],"distractors":[190],"with":[191],"size.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
