{"id":"https://openalex.org/W6945389945","doi":"https://doi.org/10.2312/3dor/3dor11/113-116","title":"Feature Template based 3D Model Retrieval","display_name":"Feature Template based 3D Model Retrieval","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W6945389945","doi":"https://doi.org/10.2312/3dor/3dor11/113-116"},"language":"en","primary_location":{"id":"doi:10.2312/3dor/3dor11/113-116","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor11/113-116","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":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/3dor/3dor11/113-116","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pan, Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pan, Xiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, QiHua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, QiHua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Liu, Zhi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.11670000106096268,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.11670000106096268,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.10029999911785126,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.07159999758005142,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7766000032424927},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7405999898910522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7404000163078308},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4607999920845032},{"id":"https://openalex.org/keywords/feature-model","display_name":"Feature model","score":0.45100000500679016},{"id":"https://openalex.org/keywords/heat-kernel-signature","display_name":"Heat kernel signature","score":0.44999998807907104},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41929998993873596}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7766000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7480000257492065},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7405999898910522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7404000163078308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6998000144958496},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.45100000500679016},{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.44999998807907104},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41929998993873596},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35260000824928284},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C2776800370","wikidata":"https://www.wikidata.org/wiki/Q5172864","display_name":"Correlative","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.26190000772476196},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.2533999979496002},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/3dor/3dor11/113-116","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor11/113-116","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"}],"best_oa_location":{"id":"doi:10.2312/3dor/3dor11/113-116","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor11/113-116","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/10","display_name":"Reduced inequalities","score":0.7733970880508423}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"3D":[0,143],"model":[1,144],"retrieval":[2,157],"has":[3],"attracted":[4],"more":[5,7,86],"and":[6],"research":[8],"interests.":[9],"Lots":[10],"of":[11,23,74,103,125],"shape":[12,26,105,120,137,149],"descriptors":[13,121,138],"have":[14],"been":[15],"proposed":[16,109,133],"till":[17],"now.":[18],"But":[19],"during":[20],"the":[21,82,94,108,123,132,156],"process":[22],"constructing":[24],"these":[25],"descriptors,":[27,150],"feature":[28,55,75,83,95,126],"correlation":[29],"among":[30],"models":[31],"is":[32,59],"not":[33],"considered.":[34],"In":[35,92,128],"this":[36],"paper,":[37],"we":[38,130],"propose":[39],"a":[40,78,101,141],"simple":[41],"but":[42],"very":[43],"effective":[44],"method":[45,110,134,152],"in":[46,122],"improving":[47],"retrieving":[48,90,116],"accuracy":[49,117],"by":[50,70,139],"employing":[51],"correlative":[52],"information,":[53],"namely":[54],"template.":[56],"Feature":[57],"template":[58,96],"designed":[60],"to":[61,114],"remove":[62],"such":[63],"small":[64],"variation":[65],"while":[66],"remaining":[67],"discriminative":[68],"features":[69],"performing":[71],"meaning":[72],"operation":[73],"vectors.":[76],"As":[77],"result,":[79],"it":[80],"makes":[81],"vector":[84],"be":[85,98,112],"robust":[87],"for":[88,118,135],"better":[89],"accuracy.":[91,158],"addition,":[93],"can":[97,111,153],"regarded":[99],"as":[100],"post-processing":[102],"existing":[104],"descriptors.":[106],"Therefore,":[107],"used":[113],"improve":[115,155],"any":[119],"form":[124],"vector.":[127],"experiments,":[129],"test":[131],"several":[136],"using":[140],"public":[142],"database.":[145],"Comparing":[146],"with":[147],"original":[148],"our":[151],"greatly":[154]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}