{"id":"https://openalex.org/W2333220441","doi":"https://doi.org/10.2312/pg.20151276","title":"Incomplete 3D Shape Retrieval via Sparse Dictionary Learning","display_name":"Incomplete 3D Shape Retrieval via Sparse Dictionary Learning","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2333220441","doi":"https://doi.org/10.2312/pg.20151276","mag":"2333220441"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.793","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.sfu.ca/%7Ehaoz/pubs/wan_pg15.pdf","raw_type":"text"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pg.20151276","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":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wan, Lili","raw_affiliation_strings":["Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101877699","display_name":"Jingyu Jiang","orcid":"https://orcid.org/0000-0003-4197-0858"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Jingyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397026","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1991-119X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011267367"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987000226974487,"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":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9950000047683716,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9919999837875366,"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":0.6657938957214355},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.6439249515533447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6191072463989258},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5226880311965942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5200714468955994},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5143750309944153},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4924395978450775},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48284250497817993},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4478958249092102},{"id":"https://openalex.org/keywords/heat-kernel-signature","display_name":"Heat kernel signature","score":0.4167741537094116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2627963721752167},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.2432418167591095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19366523623466492},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.13761362433433533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657938957214355},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6439249515533447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191072463989258},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5226880311965942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5200714468955994},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5143750309944153},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4924395978450775},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48284250497817993},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4478958249092102},{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.4167741537094116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2627963721752167},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.2432418167591095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19366523623466492},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.13761362433433533},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.793","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.sfu.ca/%7Ehaoz/pubs/wan_pg15.pdf","raw_type":"text"},{"id":"doi:10.2312/pg.20151276","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20151276","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:2333220441","is_oa":false,"landing_page_url":"https://www.cs.sfu.ca/~haoz/pubs/wan_pg15.pdf","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/pg.20151276","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20151276","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":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W52592340","https://openalex.org/W1591116419","https://openalex.org/W2005876975","https://openalex.org/W2010209818","https://openalex.org/W2013442102","https://openalex.org/W2015065645","https://openalex.org/W2023056405","https://openalex.org/W2026573466","https://openalex.org/W2034785770","https://openalex.org/W2036163530","https://openalex.org/W2041306713","https://openalex.org/W2091791686","https://openalex.org/W2100657858","https://openalex.org/W2112447569","https://openalex.org/W2140500712","https://openalex.org/W2142873256","https://openalex.org/W2147373864","https://openalex.org/W2155317031","https://openalex.org/W2159264438","https://openalex.org/W2160547390","https://openalex.org/W2173758409","https://openalex.org/W2251984315","https://openalex.org/W2410910676"],"related_works":["https://openalex.org/W1901057238","https://openalex.org/W1777017274","https://openalex.org/W2270531060","https://openalex.org/W2000859160","https://openalex.org/W2154492126","https://openalex.org/W2147679441","https://openalex.org/W2619105901","https://openalex.org/W2114162967","https://openalex.org/W2276347708","https://openalex.org/W2480792649","https://openalex.org/W2728183739","https://openalex.org/W2619671517","https://openalex.org/W2517665947","https://openalex.org/W2149668465","https://openalex.org/W2236752368","https://openalex.org/W2071736640","https://openalex.org/W2608408671","https://openalex.org/W1976483474","https://openalex.org/W2763652431","https://openalex.org/W2160823495"],"abstract_inverted_index":{"How":[0],"to":[1,45,60],"deal":[2],"with":[3,43],"missing":[4,19],"data":[5,13,20],"is":[6,21,41,59,117,121],"one":[7],"of":[8,17,33,48,56,86,95,112],"the":[9,31,38,49,62,70,83,108,143,150,157],"recurring":[10],"questions":[11],"in":[12,30,69,80,107],"analysis.":[14],"The":[15,53],"handling":[16],"significant":[18,46,162],"a":[22,93,110,119,129],"challenge.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,91],"are":[28,136,146],"interested":[29],"problem":[32],"3D":[34],"shape":[35,40,51,68,106,144],"retrieval":[36],"where":[37],"query":[39,130],"incomplete":[42,88,101,131,170],"moderate":[44],"portions":[47],"original":[50],"missing.":[52],"key":[54],"idea":[55],"our":[57],"method":[58,94,159],"grasp":[61],"basis":[63,113],"local":[64,84,114],"descriptors":[65,85],"for":[66,100,104],"each":[67,105,140],"retrieved":[71],"database":[72],"by":[73,139,149],"sparse":[74],"dictionary":[75],"learning":[76],"and":[77,123,142],"apply":[78],"them":[79],"sparsely":[81],"coding":[82],"an":[87],"query.":[89],"First,":[90],"present":[92],"computing":[96],"heat":[97,133],"kernel":[98,134],"signatures":[99,135],"shapes.":[102,171],"Next,":[103],"database,":[109],"set":[111],"descriptors,":[115],"which":[116],"called":[118],"dictionary,":[120,141],"learned":[122],"taken":[124],"as":[125],"its":[126],"representative.":[127],"Finally,":[128],"shape's":[132],"respectively":[137],"reconstructed":[138],"similarities":[145],"therefore":[147],"measured":[148],"reconstruction":[151],"errors.":[152],"Experimental":[153],"results":[154],"show":[155],"that":[156],"proposed":[158],"has":[160],"achieved":[161],"improvements":[163],"over":[164],"previous":[165],"works":[166],"on":[167],"retrieving":[168],"non-rigid":[169]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}