{"id":"https://openalex.org/W4408352161","doi":"https://doi.org/10.1109/icassp49660.2025.10890117","title":"3D Shape Classification by Registration: Neural-Network-Free and Training-Free","display_name":"3D Shape Classification by Registration: Neural-Network-Free and Training-Free","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352161","doi":"https://doi.org/10.1109/icassp49660.2025.10890117"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069022387","display_name":"Chang Gou","orcid":"https://orcid.org/0000-0002-3970-3577"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Gou","raw_affiliation_strings":["Nanjing University,Department of Computer Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Department of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanqu Mou","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqu Mou","raw_affiliation_strings":["Nanjing University,Department of Computer Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Department of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408970","display_name":"Wenjie Li","orcid":"https://orcid.org/0000-0001-7427-1688"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["Nanjing University,Department of Computer Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Department of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077162857","display_name":"Neetesh Purohit","orcid":"https://orcid.org/0000-0003-3870-7848"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neetesh Purohit","raw_affiliation_strings":["Indian Institute of Information Technology,Department of ECE,Allahabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Department of ECE,Allahabad,India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026251127","display_name":"Suneel Yadav","orcid":"https://orcid.org/0000-0001-8734-3791"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suneel Yadav","raw_affiliation_strings":["Indian Institute of Information Technology,Department of ECE,Allahabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Department of ECE,Allahabad,India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053984770","display_name":"H. Y. Bai","orcid":"https://orcid.org/0000-0001-7687-7624"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Bai","raw_affiliation_strings":["Nanjing University,Department of Computer Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Department of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437281","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0003-0474-5846"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Nanjing University,Department of Computer Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Department of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398616","display_name":"Lijun Chen","orcid":"https://orcid.org/0000-0001-6694-4299"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Chen","raw_affiliation_strings":["Nanjing University,Department of Computer Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Department of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9488999843597412,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9448000192642212,"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":0.6835219860076904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6062723994255066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5272915363311768},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.49318093061447144},{"id":"https://openalex.org/keywords/free-form","display_name":"Free form","score":0.47042274475097656},{"id":"https://openalex.org/keywords/hands-free","display_name":"Hands free","score":0.46137794852256775},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42867758870124817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3902427554130554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3863930106163025},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3358860909938812},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.16515925526618958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6835219860076904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6062723994255066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5272915363311768},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.49318093061447144},{"id":"https://openalex.org/C2987653016","wikidata":"https://www.wikidata.org/wiki/Q5500235","display_name":"Free form","level":2,"score":0.47042274475097656},{"id":"https://openalex.org/C3018339088","wikidata":"https://www.wikidata.org/wiki/Q28460","display_name":"Hands free","level":2,"score":0.46137794852256775},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42867758870124817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3902427554130554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3863930106163025},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3358860909938812},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.16515925526618958},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2049981393","https://openalex.org/W2796426482","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2963509914","https://openalex.org/W2964062501","https://openalex.org/W2979750740","https://openalex.org/W2990613095","https://openalex.org/W3111535274","https://openalex.org/W3116959466","https://openalex.org/W3158405343","https://openalex.org/W3171433839","https://openalex.org/W3174510152","https://openalex.org/W4214755140","https://openalex.org/W4312270234","https://openalex.org/W4312818263","https://openalex.org/W4382458283","https://openalex.org/W4385245566","https://openalex.org/W4386076097","https://openalex.org/W4386083131","https://openalex.org/W4386113267","https://openalex.org/W4390872570","https://openalex.org/W4390874324","https://openalex.org/W6729001083","https://openalex.org/W6739778489","https://openalex.org/W6747827861","https://openalex.org/W6763422710","https://openalex.org/W6790453339","https://openalex.org/W6791353385","https://openalex.org/W6809396041","https://openalex.org/W6839446344"],"related_works":["https://openalex.org/W4394050964","https://openalex.org/W2551249631","https://openalex.org/W3003855080","https://openalex.org/W3089720083","https://openalex.org/W2027160634","https://openalex.org/W4287765251","https://openalex.org/W2118347916","https://openalex.org/W2390150121","https://openalex.org/W2179149556","https://openalex.org/W4220655260"],"abstract_inverted_index":{"Point":[0,95],"cloud":[1,29],"classification,":[2,98],"crucial":[3],"for":[4,50,97,111,163,195],"discriminative":[5,189],"3D":[6,185,204],"shape":[7,183,205],"analysis,":[8],"has":[9,23],"witnessed":[10],"significant":[11,20,188],"progress":[12],"through":[13],"the":[14,47,169,181],"application":[15],"of":[16,34,107,114,148,184,203],"deep":[17],"learning.":[18],"A":[19,31],"research":[21],"focus":[22,171],"been":[24],"on":[25,132,138,172],"aggregating":[26],"local":[27,174],"point":[28],"features.":[30],"key":[32],"limitation":[33],"previous":[35],"methods":[36,55,198],"lies":[37],"in":[38,156],"their":[39,51,64,73],"inherent":[40,105,182],"opacity,":[41],"making":[42],"it":[43],"challenging":[44],"to":[45,62,68,79,159,168],"understand":[46],"underlying":[48,118],"reasons":[49],"predictions.":[52],"Furthermore,":[53],"these":[54,81],"frequently":[56],"exhibit":[57],"poor":[58],"generalization":[59,137],"performance,":[60],"struggling":[61],"maintain":[63],"efficacy":[65],"when":[66],"applied":[67],"data":[69],"that":[70,91,180],"deviates":[71],"from":[72],"training":[74],"distribution.":[75],"Our":[76],"method":[77,109],"aims":[78],"tackle":[80],"challenges.":[82,165],"We":[83],"propose":[84],"ICP-Classifier,":[85],"a":[86,125],"neural-network-free":[87],"and":[88,117,141,199],"training-free":[89],"paradigm":[90],"uses":[92],"Iterative":[93],"Closest":[94],"(ICP)":[96],"which":[99],"is":[100,154],"simple":[101],"yet":[102],"robust.":[103],"The":[104],"transparency":[106],"our":[108,152,177,201],"allows":[110],"straightforward":[112],"interpretation":[113],"its":[115],"predictions":[116],"mechanisms.":[119],"By":[120],"comparing":[121],"test":[122],"samples":[123],"with":[124],"reference":[126],"library,":[127],"ICP-Classifier":[128],"predicts":[129],"labels":[130],"based":[131],"overlap":[133],"ratios,":[134],"showing":[135],"strong":[136],"out-of-distribution":[139],"datasets":[140],"robustness":[142],"facing":[143],"perturbed":[144],"data.":[145],"While":[146],"capable":[147],"achieving":[149],"high":[150],"accuracy,":[151],"work":[153],"exploratory":[155],"nature,":[157],"aiming":[158],"explore":[160],"potential":[161],"solutions":[162],"existing":[164],"In":[166],"contrast":[167],"current":[170],"complex":[173],"feature":[175],"aggregation,":[176],"findings":[178],"suggest":[179],"objects":[186],"holds":[187],"potential,":[190],"opening":[191],"up":[192],"new":[193],"avenues":[194],"exploring":[196],"robust":[197],"deepening":[200],"understanding":[202],"analysis.":[206]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
