{"id":"https://openalex.org/W2900864772","doi":"https://doi.org/10.1109/access.2018.2882711","title":"Non-Rigid 3D Model Retrieval Based on Quadruplet Convolutional Neural Networks","display_name":"Non-Rigid 3D Model Retrieval Based on Quadruplet Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2900864772","doi":"https://doi.org/10.1109/access.2018.2882711","mag":"2900864772"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2882711","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2882711","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2882711","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077369376","display_name":"Hui Zeng","orcid":"https://orcid.org/0000-0002-4137-7424"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zeng","raw_affiliation_strings":["Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-4137-7424","affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101682998","display_name":"Yanrong Liu","orcid":"https://orcid.org/0000-0001-8951-9906"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanrong Liu","raw_affiliation_strings":["Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826862","display_name":"Jiwei Liu","orcid":"https://orcid.org/0009-0005-1073-2701"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Liu","raw_affiliation_strings":["Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016681542","display_name":"Dongmei Fu","orcid":"https://orcid.org/0000-0003-3918-9448"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Fu","raw_affiliation_strings":["Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8013,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70495892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"76087","last_page":"76097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9988999962806702,"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":0.9988999962806702,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991100013256073,"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":0.7539389729499817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7410132884979248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6985734701156616},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6405183672904968},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5658758878707886},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5215325355529785},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47961199283599854},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4533197581768036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1717073619365692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539389729499817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7410132884979248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6985734701156616},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6405183672904968},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5658758878707886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5215325355529785},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47961199283599854},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4533197581768036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1717073619365692},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2882711","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2882711","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f22b5d86cf0a4a79b9391394abcac930","is_oa":true,"landing_page_url":"https://doaj.org/article/f22b5d86cf0a4a79b9391394abcac930","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 76087-76097 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2882711","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2882711","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G2423437851","display_name":null,"funder_award_id":"FRF-BD-17-002A","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3244535928","display_name":null,"funder_award_id":"61375010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5070020248","display_name":null,"funder_award_id":"201706465032","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G969483587","display_name":null,"funder_award_id":"F2018205102","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1512571642","https://openalex.org/W1519296514","https://openalex.org/W1564871316","https://openalex.org/W1686810756","https://openalex.org/W1757705478","https://openalex.org/W1964601719","https://openalex.org/W1972485825","https://openalex.org/W1974485698","https://openalex.org/W1983670955","https://openalex.org/W2002552324","https://openalex.org/W2007206727","https://openalex.org/W2036163530","https://openalex.org/W2074781138","https://openalex.org/W2078039548","https://openalex.org/W2084286148","https://openalex.org/W2087063852","https://openalex.org/W2091791686","https://openalex.org/W2096733369","https://openalex.org/W2098764590","https://openalex.org/W2099606917","https://openalex.org/W2100657858","https://openalex.org/W2108158822","https://openalex.org/W2117002552","https://openalex.org/W2130558599","https://openalex.org/W2142873256","https://openalex.org/W2148802313","https://openalex.org/W2160643963","https://openalex.org/W2160821342","https://openalex.org/W2194775991","https://openalex.org/W2219193941","https://openalex.org/W2251984315","https://openalex.org/W2293670510","https://openalex.org/W2346106941","https://openalex.org/W2502206489","https://openalex.org/W2539437527","https://openalex.org/W2568663710","https://openalex.org/W2606377603","https://openalex.org/W2608153915","https://openalex.org/W2768242799","https://openalex.org/W2962835968","https://openalex.org/W2963713828","https://openalex.org/W3099206234","https://openalex.org/W3101921002","https://openalex.org/W6630680331","https://openalex.org/W6631087456","https://openalex.org/W6637373629","https://openalex.org/W6637720468","https://openalex.org/W6676070449"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4292523377"],"abstract_inverted_index":{"Non-rigid":[0],"3-D":[1,9,15,50,78,142],"model":[2,51],"retrieval":[3,52,157],"is":[4,88,97],"a":[5,47],"challenging":[6],"problem":[7],"in":[8],"shape":[10,94,143],"analysis.":[11],"Recently,":[12],"deep":[13],"learning-based":[14],"feature":[16,43],"extraction":[17],"methods":[18],"have":[19,23,169],"been":[20],"studied":[21],"and":[22,90],"achieved":[24],"better":[25],"performance":[26],"than":[27],"the":[28,34,62,65,72,80,100,103,106,123,133,138,141,151,156,162,171,174],"previous":[29],"state-of-the-art":[30],"methods.":[31],"Inspired":[32],"by":[33,161],"quadruplet":[35,56,66,107,116,127,153],"neural":[36,58,109],"networks":[37,110],"proposed":[38,63,175],"for":[39],"learning":[40],"local":[41],"image":[42],"descriptors,":[44],"we":[45],"propose":[46],"novel":[48],"non-rigid":[49],"method":[53],"based":[54],"on":[55],"convolutional":[57,108],"networks.":[59,154],"For":[60,76,137],"training":[61],"networks,":[64],"samples":[67],"are":[68,111,145,159],"first":[69],"selected":[70],"using":[71,113,147],"online":[73],"sampling":[74],"method.":[75,176],"each":[77,86],"model,":[79],"wave":[81],"kernel":[82],"signature":[83],"descriptor":[84],"of":[85,102,125,135,150,173],"vertex":[87],"computed,":[89],"its":[91],"corresponding":[92],"multi-energy":[93],"distribution":[95],"matrix":[96],"constructed":[98],"as":[99],"input":[101],"network.":[104],"Then,":[105],"trained":[112,152],"our":[114],"improved":[115],"loss":[117,128],"function,":[118],"which":[119],"not":[120],"only":[121],"preserves":[122],"advantages":[124],"existing":[126],"functions":[129],"but":[130],"also":[131],"decreases":[132],"risk":[134],"underfitting.":[136],"query":[139],"sample,":[140],"features":[144],"computed":[146],"one":[148],"branch":[149],"Finally,":[155],"results":[158,168],"obtained":[160],"L2":[163],"distance":[164],"measure.":[165],"Extensive":[166],"experimental":[167],"validated":[170],"effectiveness":[172]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}