{"id":"https://openalex.org/W2042640124","doi":"https://doi.org/10.1109/icassp.2013.6638309","title":"Non-rigid 3D shape recognition via dictionary learning","display_name":"Non-rigid 3D shape recognition via dictionary learning","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2042640124","doi":"https://doi.org/10.1109/icassp.2013.6638309","mag":"2042640124"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000117252","display_name":"Yin Zhou","orcid":"https://orcid.org/0000-0001-7536-7753"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Zhou","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399921","display_name":"Kai Liu","orcid":"https://orcid.org/0000-0002-6433-6529"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Liu","raw_affiliation_strings":["School of Electrical Engineering and Information, Sichuan University, China","Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information, Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036946701","display_name":"Kenneth E. Barner","orcid":"https://orcid.org/0000-0002-0936-7840"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth E. Barner","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3502","last_page":"3506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"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":0.998199999332428,"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":0.994700014591217,"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":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.7612706422805786},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7064831852912903},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6470057964324951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6468929648399353},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6317329406738281},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.591407299041748},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5909216403961182},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5889669060707092},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5482353568077087},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5232685804367065},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4709433317184448},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4298500418663025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14730092883110046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612706422805786},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7064831852912903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6470057964324951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6468929648399353},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6317329406738281},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.591407299041748},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5909216403961182},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5889669060707092},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5482353568077087},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5232685804367065},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4709433317184448},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4298500418663025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14730092883110046},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1482825550","https://openalex.org/W1551219034","https://openalex.org/W1561952261","https://openalex.org/W1992405901","https://openalex.org/W2005490094","https://openalex.org/W2011697391","https://openalex.org/W2017214807","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2032397366","https://openalex.org/W2053186076","https://openalex.org/W2062865821","https://openalex.org/W2082498363","https://openalex.org/W2082855665","https://openalex.org/W2084716923","https://openalex.org/W2087256761","https://openalex.org/W2100657858","https://openalex.org/W2109751703","https://openalex.org/W2114122776","https://openalex.org/W2116498084","https://openalex.org/W2127997443","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2131096813","https://openalex.org/W2134563198","https://openalex.org/W2140262144","https://openalex.org/W2148802313","https://openalex.org/W2149708440","https://openalex.org/W2150112333","https://openalex.org/W2160547390","https://openalex.org/W2295332248","https://openalex.org/W2953139536","https://openalex.org/W3120421331","https://openalex.org/W4285719527","https://openalex.org/W6628991564","https://openalex.org/W6633448084","https://openalex.org/W6666160849","https://openalex.org/W6671334298","https://openalex.org/W6677521738","https://openalex.org/W6678757208","https://openalex.org/W6679809621"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W2982240858","https://openalex.org/W4205656132","https://openalex.org/W2008821896","https://openalex.org/W2157785665","https://openalex.org/W2048023787","https://openalex.org/W2068941797"],"abstract_inverted_index":{"Non-rigid":[0],"3D":[1,35,123],"shape":[2,36,39],"recognition":[3,37],"is":[4],"an":[5],"important":[6],"and":[7,14,116,126],"challenging":[8],"research":[9],"topic":[10],"in":[11,69],"computer":[12],"vision":[13],"pattern":[15],"recognition.":[16],"This":[17],"paper":[18],"presents":[19],"a":[20,44,51,64,97,119],"novel":[21,45],"algorithm,":[22],"called":[23],"dictionary":[24,65],"learning":[25],"based":[26],"on":[27],"supervised":[28],"locally":[29],"linear":[30],"representation":[31,70],"(DL-SLLR),":[32],"for":[33,66],"efficient":[34],"using":[38,110],"descriptors.":[40],"Specifically,":[41],"we":[42],"introduce":[43],"locality-preservation":[46,75],"error":[47,54],"term":[48,55],"along":[49],"with":[50,87],"label":[52],"approximation":[53],"into":[56],"the":[57,92,127],"objective":[58],"function.":[59],"The":[60],"proposed":[61,93],"algorithm":[62],"optimizes":[63],"its":[67,74],"capability":[68],"as":[71,73],"well":[72],"capability,":[76],"which":[77],"thus":[78],"allows":[79],"more":[80],"consistent":[81],"encoding":[82],"of":[83],"similar":[84],"descriptors":[85],"compared":[86,100],"sparse":[88,103],"coding.":[89],"In":[90],"addition,":[91],"SLLR":[94],"coding":[95,104],"yields":[96],"closed-form":[98],"solution,":[99],"to":[101],"many":[102],"algorithms.":[105],"Experimental":[106],"results":[107],"demonstrate":[108],"that":[109],"majority":[111],"voting,":[112],"DL-SLLR":[113],"outperforms":[114],"D-KSVD":[115],"SVM":[117],"over":[118],"newly":[120],"generated":[121],"SLI":[122],"Face":[124],"Dataset":[125],"SHREC'11":[128],"Contest":[129],"Dataset.":[130]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}