{"id":"https://openalex.org/W1500462843","doi":"https://doi.org/10.1109/icme.2015.7177475","title":"3D ear identification using LC-KSVD and local histograms of surface types","display_name":"3D ear identification using LC-KSVD and local histograms of surface types","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1500462843","doi":"https://doi.org/10.1109/icme.2015.7177475","mag":"1500462843"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2015.7177475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","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/A5014684738","display_name":"Lida Li","orcid":"https://orcid.org/0000-0001-9386-194X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lida Li","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China","School of Software Engineering Tongji University Shanghai 201804 China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering Tongji University Shanghai 201804 China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351849","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-4360-5523"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China","School of Software Engineering Tongji University Shanghai 201804 China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering Tongji University Shanghai 201804 China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402304","display_name":"Hongyu Li","orcid":"https://orcid.org/0000-0002-6518-9866"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Li","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China","School of Software Engineering Tongji University Shanghai 201804 China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software Engineering Tongji University Shanghai 201804 China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014684738"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.643132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11866","display_name":"Reconstructive Facial Surgery Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9836999773979187,"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/discriminative-model","display_name":"Discriminative model","score":0.810616672039032},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7359457015991211},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7253679037094116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188153266906738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6799036860466003},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5579165816307068},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4943234920501709},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.47317245602607727},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46495068073272705},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44747138023376465},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17323875427246094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14119327068328857}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.810616672039032},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7359457015991211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7253679037094116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188153266906738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6799036860466003},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5579165816307068},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4943234920501709},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.47317245602607727},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46495068073272705},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44747138023376465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17323875427246094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14119327068328857},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2015.7177475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2015.7177475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1560006303","https://openalex.org/W1565212980","https://openalex.org/W1963932623","https://openalex.org/W1974042113","https://openalex.org/W2013491563","https://openalex.org/W2035158359","https://openalex.org/W2049981393","https://openalex.org/W2093309892","https://openalex.org/W2093922090","https://openalex.org/W2099088762","https://openalex.org/W2100278244","https://openalex.org/W2101799416","https://openalex.org/W2117002552","https://openalex.org/W2124762249","https://openalex.org/W2127271355","https://openalex.org/W2129812935","https://openalex.org/W2149407554","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2161516371","https://openalex.org/W2163112044","https://openalex.org/W2163352848","https://openalex.org/W2168663294","https://openalex.org/W2984066441","https://openalex.org/W4231663220","https://openalex.org/W4243097765","https://openalex.org/W6653720148","https://openalex.org/W6659110585","https://openalex.org/W6675110572","https://openalex.org/W6683660953","https://openalex.org/W6684628631"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W1487808658","https://openalex.org/W2144332008","https://openalex.org/W2349204598","https://openalex.org/W156213964","https://openalex.org/W2050960118"],"abstract_inverted_index":{"In":[0],"this":[1,59,103],"paper,":[2],"we":[3,61,69],"propose":[4,62],"a":[5,29,37,63,71,79],"novel":[6],"3D":[7,55,72],"ear":[8,56,73],"classification":[9,142],"scheme,":[10],"making":[11],"use":[12,43],"of":[13,81],"the":[14,95,118,128,141],"label":[15],"consistent":[16],"K-SVD":[17],"(LC-KSVD)":[18],"framework.":[19],"As":[20],"an":[21],"effective":[22],"supervised":[23],"dictionary":[24,32],"learning":[25],"algorithm,":[26],"LC-KSVD":[27],"learns":[28],"compact":[30],"discriminative":[31,107],"for":[33],"sparse":[34],"coding":[35],"and":[36,77,108],"multi-class":[38],"linear":[39],"classifier":[40],"simultaneously.":[41],"To":[42,58],"LC-KSVD,":[44],"one":[45],"key":[46],"issue":[47],"is":[48,137],"how":[49],"to":[50,93,111],"extract":[51,78],"feature":[52,97],"vectors":[53,100],"from":[54,84,88],"scans.":[57],"end,":[60],"block-wise":[64],"statistics":[65],"based":[66],"scheme.":[67],"Specifically,":[68],"divide":[70],"ROI":[74],"into":[75],"blocks":[76,90],"histogram":[80],"surface":[82],"types":[83],"each":[85],"block;":[86],"histograms":[87],"all":[89],"are":[91,105,109],"concatenated":[92],"form":[94],"desired":[96],"vector.":[98],"Feature":[99],"extracted":[101],"in":[102],"way":[104],"highly":[106],"robust":[110],"mere":[112],"misalignment.":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"that":[117],"proposed":[119],"approach":[120],"can":[121],"achieve":[122],"much":[123],"better":[124],"recognition":[125],"accuracy":[126],"than":[127],"other":[129],"state-of-the-art":[130],"methods.":[131],"More":[132],"importantly,":[133],"its":[134],"computational":[135],"complexity":[136],"extremely":[138],"low":[139],"at":[140],"stage.":[143]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
