{"id":"https://openalex.org/W2794405057","doi":"https://doi.org/10.1109/icip.2017.8296587","title":"3D convolutional neural networks by modal fusion","display_name":"3D convolutional neural networks by modal fusion","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2794405057","doi":"https://doi.org/10.1109/icip.2017.8296587","mag":"2794405057"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5023347873","display_name":"Yusuke Yoshiyasu","orcid":"https://orcid.org/0000-0002-0433-9832"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Yoshiyasu","raw_affiliation_strings":["AIST, National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIST, National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080826821","display_name":"Eiichi Yoshida","orcid":"https://orcid.org/0000-0002-3077-6964"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eiichi Yoshida","raw_affiliation_strings":["AIST, National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIST, National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022418359","display_name":"S\u00f6ren Pirk","orcid":"https://orcid.org/0000-0003-1937-9797"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soeren Pirk","raw_affiliation_strings":["Interactive Robotics Research Group, National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Robotics Research Group, National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065368881","display_name":"Leonidas Guibas","orcid":"https://orcid.org/0000-0002-8315-4886"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Leonidas Guibas","raw_affiliation_strings":["Interactive Robotics Research Group, National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Robotics Research Group, National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I73613424"],"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":"25","issue":null,"first_page":"1777","last_page":"1781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"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":0.9991000294685364,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8061560988426208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7331584692001343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7222955822944641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6108239889144897},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5728989839553833},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5173898935317993},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.4942622184753418},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48264080286026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45706453919410706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4437524974346161},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1387033760547638},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08389893174171448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05852702260017395},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.05284476280212402}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8061560988426208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7331584692001343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7222955822944641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6108239889144897},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5728989839553833},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5173898935317993},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.4942622184753418},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48264080286026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45706453919410706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4437524974346161},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1387033760547638},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08389893174171448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05852702260017395},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.05284476280212402},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G5936539190","display_name":"Deep learning for action","funder_award_id":"17K18420","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1561952261","https://openalex.org/W1565402342","https://openalex.org/W1644641054","https://openalex.org/W1903029394","https://openalex.org/W1920022804","https://openalex.org/W2012592962","https://openalex.org/W2094262711","https://openalex.org/W2102605133","https://openalex.org/W2104657103","https://openalex.org/W2124592697","https://openalex.org/W2146352414","https://openalex.org/W2151103935","https://openalex.org/W2158522123","https://openalex.org/W2163605009","https://openalex.org/W2179042386","https://openalex.org/W2207044458","https://openalex.org/W2211722331","https://openalex.org/W2229637417","https://openalex.org/W2257979135","https://openalex.org/W2295332248","https://openalex.org/W2394951287","https://openalex.org/W2444163375","https://openalex.org/W2546066744","https://openalex.org/W2560609797","https://openalex.org/W2580018057","https://openalex.org/W2620629206","https://openalex.org/W2737234477","https://openalex.org/W2962731536","https://openalex.org/W2963066927","https://openalex.org/W2964027736","https://openalex.org/W3104141662","https://openalex.org/W3163282598","https://openalex.org/W6633448084","https://openalex.org/W6640300118","https://openalex.org/W6683105310","https://openalex.org/W6684191040","https://openalex.org/W6692647644","https://openalex.org/W6712520605","https://openalex.org/W6729001083","https://openalex.org/W6763422710","https://openalex.org/W6795983510"],"related_works":["https://openalex.org/W2334610590","https://openalex.org/W2320366403","https://openalex.org/W3204197061","https://openalex.org/W4251350712","https://openalex.org/W637098845","https://openalex.org/W2410116073","https://openalex.org/W3044972437","https://openalex.org/W4287707480","https://openalex.org/W2275866607","https://openalex.org/W3198805702"],"abstract_inverted_index":{"We":[0],"propose":[1],"multi-view":[2],"and":[3,17,24,50,62],"volumetric":[4,48],"convolutional":[5],"neural":[6],"networks":[7],"(ConvNets)":[8],"for":[9,46],"3D":[10,52],"shape":[11],"recognition,":[12],"which":[13],"combines":[14],"surface":[15,56],"normal":[16],"height":[18],"fields":[19],"to":[20],"capture":[21],"local":[22],"geometry":[23],"physical":[25],"size":[26],"of":[27],"an":[28],"object.":[29],"This":[30,42],"strategy":[31],"helps":[32],"distinguishing":[33],"between":[34],"objects":[35],"with":[36,54],"similar":[37],"geometries":[38],"but":[39],"different":[40],"sizes.":[41],"is":[43],"especially":[44],"useful":[45],"enhancing":[47],"ConvNets":[49],"classifying":[51],"scans":[53],"insufficient":[55],"details.":[57],"Experimental":[58],"results":[59],"on":[60],"CAD":[61],"real-world":[63],"scan":[64],"datasets":[65],"showed":[66],"that":[67],"our":[68],"technique":[69],"outperforms":[70],"previous":[71],"approaches.":[72]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}