{"id":"https://openalex.org/W2410910676","doi":"https://doi.org/10.2312/pe.pg.pg2013short.011-016","title":"Non-rigid 3D Shape Retrieval via Sparse Representation","display_name":"Non-rigid 3D Shape Retrieval via Sparse Representation","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2410910676","doi":"https://doi.org/10.2312/pe.pg.pg2013short.011-016","mag":"2410910676"},"language":"en","primary_location":{"id":"doi:10.2312/pe.pg.pg2013short.011-016","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.pg.pg2013short.011-016","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pe.pg.pg2013short.011-016","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011267367","display_name":"Lili Wan","orcid":"https://orcid.org/0000-0002-9520-5425"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wan, Lili","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shuai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111825657","display_name":"Zhenjiang Miao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao, Zhenjiang J.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082462498","display_name":"Yigang Cen","orcid":"https://orcid.org/0000-0001-6255-9422"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cen, Yigang G.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011267367"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955999851226807,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955999851226807,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9954000115394592,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.534747302532196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5212419629096985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5034565329551697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4409424662590027},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38138607144355774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3231019973754883}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.534747302532196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5212419629096985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034565329551697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4409424662590027},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38138607144355774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3231019973754883},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":2,"locations":[{"id":"doi:10.2312/pe.pg.pg2013short.011-016","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.pg.pg2013short.011-016","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2410910676","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/pg/pg2013s.html#WanLMC13","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pe.pg.pg2013short.011-016","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.pg.pg2013short.011-016","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2416924528","https://openalex.org/W2726176062","https://openalex.org/W2256041735","https://openalex.org/W2272227925","https://openalex.org/W2234155815","https://openalex.org/W2309753055","https://openalex.org/W2276347708","https://openalex.org/W2000859160","https://openalex.org/W1777017274","https://openalex.org/W2810731241","https://openalex.org/W2121769650","https://openalex.org/W2768624550","https://openalex.org/W2286632794","https://openalex.org/W2733486948","https://openalex.org/W2617941226","https://openalex.org/W2810401700","https://openalex.org/W248219399","https://openalex.org/W2619105901","https://openalex.org/W2912605670","https://openalex.org/W2100268264"],"abstract_inverted_index":{"Shape":[0],"descriptor":[1,51],"design":[2],"is":[3],"an":[4,94,127],"important":[5],"but":[6],"challenging":[7],"problem":[8],"for":[9,71],"non-rigid":[10],"3D":[11,107],"shape":[12,27,45,50,129],"retrieval.":[13],"Recently,":[14],"bagof-":[15],"words":[16],"based":[17,112,153],"methods":[18],"are":[19,109],"widely":[20],"used":[21],"to":[22,41,64,83,87,125],"integrate":[23],"a":[24,30,38,48],"model's":[25],"local":[26,44,68],"descriptors":[28,46],"into":[29,47],"global":[31,49],"histogram.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,58,78,132],"present":[37],"new":[39],"method":[40,145],"pool":[42],"the":[43,66,75,80,103,114,137],"by":[52],"means":[53],"of":[54,105],"sparse":[55,119],"representation.":[56],"Firstly,":[57],"employ":[59],"heat":[60],"kernel":[61],"signature":[62],"(HKS)":[63],"depict":[65],"multi-scale":[67],"shape.":[69],"Then,":[70],"each":[72,106],"model":[73,108],"in":[74],"training":[76,90],"dataset,":[77],"take":[79],"HKSs":[81,104],"corresponding":[82],"its":[84],"mesh":[85],"vertices":[86],"serve":[88],"as":[89],"signals,":[91],"and":[92,117],"thus":[93],"over-complete":[95],"dictionary":[96],"can":[97,121,146],"be":[98,122],"learned":[99,115],"from":[100],"them.":[101],"Finally,":[102],"sparsely":[110],"coded":[111],"on":[113,136],"dictionary,":[116],"such":[118],"representations":[120],"further":[123],"integrated":[124],"form":[126],"object-level":[128],"descriptor.":[130],"Moreover,":[131],"conduct":[133],"extensive":[134],"experiments":[135],"state-of-the-art":[138],"benchmarks,":[139],"wherein":[140],"comprehensive":[141],"evaluations":[142],"state":[143],"our":[144],"achieve":[147],"better":[148],"performance":[149],"than":[150],"other":[151],"bag-of-words":[152],"approaches.":[154]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
