{"id":"https://openalex.org/W3011478380","doi":"https://doi.org/10.1093/jcde/qwaa003","title":"Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks","display_name":"Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3011478380","doi":"https://doi.org/10.1093/jcde/qwaa003","mag":"3011478380"},"language":"en","primary_location":{"id":"doi:10.1093/jcde/qwaa003","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwaa003","pdf_url":"https://academic.oup.com/jcde/article-pdf/7/1/18/33122977/qwaa003.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/jcde/article-pdf/7/1/18/33122977/qwaa003.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015025541","display_name":"Zhiyu Sun","orcid":"https://orcid.org/0000-0002-9280-9258"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyu Sun","raw_affiliation_strings":["Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067090257","display_name":"Yusen He","orcid":"https://orcid.org/0000-0001-7093-8596"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yusen He","raw_affiliation_strings":["Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056951095","display_name":"Andrey Gritsenko","orcid":"https://orcid.org/0000-0001-5074-7282"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrey Gritsenko","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083632408","display_name":"Amaury Lendasse","orcid":"https://orcid.org/0000-0001-5410-4751"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amaury Lendasse","raw_affiliation_strings":["Department of Information and Logistics Technology, University of Houston, Houston, TX 77204, USA"],"affiliations":[{"raw_affiliation_string":"Department of Information and Logistics Technology, University of Houston, Houston, TX 77204, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041162418","display_name":"Stephen Baek","orcid":"https://orcid.org/0000-0002-4758-4539"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stephen Baek","raw_affiliation_strings":["Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242, USA","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041162418"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":{"value":1650,"currency":"USD","value_usd":1650},"apc_paid":{"value":1650,"currency":"USD","value_usd":1650},"fwci":1.9367,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83808741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"7","issue":"1","first_page":"18","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"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":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6465656757354736},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6296951770782471},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6103663444519043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6032755970954895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.594883143901825},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5415440201759338},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5093918442726135},{"id":"https://openalex.org/keywords/isometry","display_name":"Isometry (Riemannian geometry)","score":0.4504944086074829},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44432035088539124},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4314831495285034},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.41967931389808655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.326305627822876},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1556694209575653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12155097723007202}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6465656757354736},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6296951770782471},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6103663444519043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6032755970954895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.594883143901825},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5415440201759338},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5093918442726135},{"id":"https://openalex.org/C82457910","wikidata":"https://www.wikidata.org/wiki/Q740207","display_name":"Isometry (Riemannian geometry)","level":2,"score":0.4504944086074829},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44432035088539124},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4314831495285034},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.41967931389808655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.326305627822876},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1556694209575653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12155097723007202},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/jcde/qwaa003","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwaa003","pdf_url":"https://academic.oup.com/jcde/article-pdf/7/1/18/33122977/qwaa003.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1093/jcde/qwaa003","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwaa003","pdf_url":"https://academic.oup.com/jcde/article-pdf/7/1/18/33122977/qwaa003.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011478380.pdf","grobid_xml":"https://content.openalex.org/works/W3011478380.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W630560798","https://openalex.org/W1522301498","https://openalex.org/W1545878925","https://openalex.org/W1968785025","https://openalex.org/W1977213563","https://openalex.org/W1984159596","https://openalex.org/W1985851765","https://openalex.org/W1986454013","https://openalex.org/W2001141328","https://openalex.org/W2002552324","https://openalex.org/W2013442102","https://openalex.org/W2049462432","https://openalex.org/W2053186076","https://openalex.org/W2067783472","https://openalex.org/W2073431710","https://openalex.org/W2077557812","https://openalex.org/W2089468765","https://openalex.org/W2091791686","https://openalex.org/W2099011563","https://openalex.org/W2100657858","https://openalex.org/W2103975664","https://openalex.org/W2120398992","https://openalex.org/W2122007052","https://openalex.org/W2127025496","https://openalex.org/W2140500712","https://openalex.org/W2147373864","https://openalex.org/W2154084374","https://openalex.org/W2159264438","https://openalex.org/W2171590421","https://openalex.org/W2219193941","https://openalex.org/W2254644702","https://openalex.org/W2293670510","https://openalex.org/W2520743427","https://openalex.org/W2559902616","https://openalex.org/W2791092480","https://openalex.org/W2919115771","https://openalex.org/W2963021451","https://openalex.org/W2963333168","https://openalex.org/W3006223838","https://openalex.org/W3023742835","https://openalex.org/W3177525997","https://openalex.org/W4200329629","https://openalex.org/W4234552385","https://openalex.org/W4239890145","https://openalex.org/W4241422529","https://openalex.org/W4245551996","https://openalex.org/W4250800977","https://openalex.org/W4301045096","https://openalex.org/W4310895557","https://openalex.org/W6609126824","https://openalex.org/W6631190155","https://openalex.org/W6635776967","https://openalex.org/W6639200214","https://openalex.org/W6651859704","https://openalex.org/W6655596120","https://openalex.org/W6655774988","https://openalex.org/W6673069441","https://openalex.org/W6684386324","https://openalex.org/W6685713461","https://openalex.org/W6696973050","https://openalex.org/W6713517206","https://openalex.org/W6730183526","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W3093612317","https://openalex.org/W2613736958","https://openalex.org/W2037900003","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2760085659","https://openalex.org/W2883200793","https://openalex.org/W2738221750","https://openalex.org/W3012978760","https://openalex.org/W2912288872"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"robust":[2],"and":[3,135],"informative":[4],"local":[5],"shape":[6,114],"descriptor":[7,115],"plays":[8],"an":[9,144],"important":[10],"role":[11],"in":[12,183],"mesh":[13],"registration.":[14],"In":[15,90],"this":[16,91],"regard,":[17],"spectral":[18,53,104,113,171],"descriptors":[19,54,105,149,172],"that":[20],"are":[21,77,87,150],"based":[22,154],"on":[23,155],"the":[24,27,38,67,71,85,100,122,126,130,147,156,166,169,174,179],"spectrum":[25],"of":[26,35,103,168],"Laplace\u2013Beltrami":[28],"operator":[29],"have":[30],"been":[31],"a":[32,59,96,112,117,137],"popular":[33],"subject":[34],"research":[36],"for":[37,63,80,106],"last":[39],"decade":[40],"due":[41],"to":[42,57,98,141,152,185],"their":[43],"advantageous":[44],"properties,":[45],"such":[46,143],"as":[47],"isometry":[48],"invariance.":[49],"Despite":[50],"such,":[51],"however,":[52],"often":[55],"fail":[56],"give":[58],"correct":[60],"similarity":[61,101],"measure":[62],"nonisometric":[64],"cases":[65],"where":[66,121,146],"metric":[68,102,119],"distortion":[69],"between":[70,125],"models":[72,86],"is":[73,94],"large.":[74],"Hence,":[75],"they":[76],"not":[78,88],"reliable":[79],"correspondence":[81,107],"matching":[82,108],"problems":[83],"when":[84],"isometric.":[89],"paper,":[92],"it":[93],"proposed":[95],"method":[97],"improve":[99],"problems.":[109],"We":[110,133,159],"embed":[111],"into":[116],"different":[118],"space":[120],"Euclidean":[123],"distance":[124],"elements":[127],"directly":[128],"indicates":[129],"geometric":[131,157],"dissimilarity.":[132],"design":[134],"train":[136],"Siamese":[138,180],"neural":[139,181],"network":[140,182],"find":[142],"embedding,":[145],"embedded":[148],"promoted":[151],"rearrange":[153],"similarity.":[158],"demonstrate":[160],"our":[161],"approach":[162],"can":[163],"significantly":[164],"enhance":[165],"performance":[167],"conventional":[170],"by":[173],"simple":[175],"augmentation":[176],"achieved":[177],"via":[178],"comparison":[184],"other":[186],"state-of-the-art":[187],"methods.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
