{"id":"https://openalex.org/W2558377591","doi":"https://doi.org/10.1109/ivcnz.2015.7761555","title":"Novel methods for reflective symmetry detection in scanned 3D models","display_name":"Novel methods for reflective symmetry detection in scanned 3D models","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2558377591","doi":"https://doi.org/10.1109/ivcnz.2015.7761555","mag":"2558377591"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2015.7761555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5075491769","display_name":"Matthew Stephenson","orcid":"https://orcid.org/0000-0002-3867-5842"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Matthew Stephenson","raw_affiliation_strings":["Computer Science and Software, Engineering Dept., University of Canterbury, Christchurch New Zealand, New Zealand","Computer Science and Software Engineering Dept, University of Canterbury, Christchurch, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software, Engineering Dept., University of Canterbury, Christchurch New Zealand, New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Computer Science and Software Engineering Dept, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032628825","display_name":"Adrian Clark","orcid":"https://orcid.org/0000-0001-6009-879X"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Adrian Clark","raw_affiliation_strings":["Computer Science and Software, Engineering Dept., University of Canterbury, Christchurch New Zealand, New Zealand","Computer Science and Software Engineering Dept, University of Canterbury, Christchurch, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software, Engineering Dept., University of Canterbury, Christchurch New Zealand, New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Computer Science and Software Engineering Dept, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100730173","display_name":"Richard Green","orcid":"https://orcid.org/0000-0001-8851-7204"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Richard Green","raw_affiliation_strings":["Computer Science and Software, Engineering Dept., University of Canterbury, Christchurch New Zealand, New Zealand","Computer Science and Software Engineering Dept, University of Canterbury, Christchurch, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software, Engineering Dept., University of Canterbury, Christchurch New Zealand, New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Computer Science and Software Engineering Dept, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/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/T12923","display_name":"Digital Image Processing Techniques","score":0.9973000288009644,"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/reflection-symmetry","display_name":"Reflection symmetry","score":0.7753843069076538},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.7478300333023071},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.5631150007247925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598625540733337},{"id":"https://openalex.org/keywords/plane-symmetry","display_name":"Plane symmetry","score":0.5425728559494019},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5129567980766296},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.46471795439720154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4488813281059265},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4391302168369293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4359245002269745},{"id":"https://openalex.org/keywords/circular-symmetry","display_name":"Circular symmetry","score":0.42636287212371826},{"id":"https://openalex.org/keywords/local-symmetry","display_name":"Local symmetry","score":0.42443063855171204},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41086292266845703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3195096254348755},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2889753580093384},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1450115144252777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14465978741645813},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0984342098236084},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.0957263708114624}],"concepts":[{"id":"https://openalex.org/C133978748","wikidata":"https://www.wikidata.org/wiki/Q15955882","display_name":"Reflection symmetry","level":2,"score":0.7753843069076538},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.7478300333023071},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.5631150007247925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598625540733337},{"id":"https://openalex.org/C40425006","wikidata":"https://www.wikidata.org/wiki/Q7201020","display_name":"Plane symmetry","level":2,"score":0.5425728559494019},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5129567980766296},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.46471795439720154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4488813281059265},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4391302168369293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4359245002269745},{"id":"https://openalex.org/C20892832","wikidata":"https://www.wikidata.org/wiki/Q3271879","display_name":"Circular symmetry","level":2,"score":0.42636287212371826},{"id":"https://openalex.org/C2779291638","wikidata":"https://www.wikidata.org/wiki/Q1455736","display_name":"Local symmetry","level":2,"score":0.42443063855171204},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41086292266845703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3195096254348755},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2889753580093384},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1450115144252777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14465978741645813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0984342098236084},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0957263708114624},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz.2015.7761555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.canterbury.ac.nz:10092/14447","is_oa":false,"landing_page_url":"http://hdl.handle.net/10092/14447","pdf_url":null,"source":{"id":"https://openalex.org/S4306401103","display_name":"University of Canterbury Research Repository (University of Canterbury)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185492890","host_organization_name":"University of Canterbury","host_organization_lineage":["https://openalex.org/I185492890"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Reports"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1506094717","https://openalex.org/W1507347479","https://openalex.org/W1530372847","https://openalex.org/W1821219543","https://openalex.org/W1986145324","https://openalex.org/W2006502673","https://openalex.org/W2012171749","https://openalex.org/W2023507039","https://openalex.org/W2060206980","https://openalex.org/W2067160009","https://openalex.org/W2090238112","https://openalex.org/W2094954828","https://openalex.org/W2099789128","https://openalex.org/W2101011894","https://openalex.org/W2123103312","https://openalex.org/W2135500318","https://openalex.org/W2141299360","https://openalex.org/W2149008940","https://openalex.org/W2165558283","https://openalex.org/W2169371923","https://openalex.org/W2175031088","https://openalex.org/W2235901111","https://openalex.org/W4232428446","https://openalex.org/W4250463896","https://openalex.org/W6631783955","https://openalex.org/W6681978318","https://openalex.org/W7039445412"],"related_works":["https://openalex.org/W4386771964","https://openalex.org/W1981018792","https://openalex.org/W3021677756","https://openalex.org/W2150302300","https://openalex.org/W2028126518","https://openalex.org/W2971970165","https://openalex.org/W1591134117","https://openalex.org/W3124058497","https://openalex.org/W1973220084","https://openalex.org/W2067588293"],"abstract_inverted_index":{"The":[0,143,176],"concept":[1],"of":[2,13,41,44,88,102,119,139,167,171],"detecting":[3],"symmetry":[4,27,51,120],"within":[5,15,28],"3D":[6,29,54],"models":[7,55,65,103,122,138],"has":[8],"received":[9],"an":[10,192],"extensive":[11],"amount":[12],"research":[14],"the":[16,38,45,78,84,154,180,189],"past":[17],"decade.":[18],"Numerous":[19],"algorithms":[20,156],"have":[21,124],"been":[22,125],"proposed":[23,155],"to":[24,32,61,104,115,164,185],"identify":[25,105,116],"reflective":[26,108,174],"meshes":[30],"and":[31,86,91],"extract":[33],"a":[34,99,160,169],"quantitative":[35],"measure":[36],"for":[37,136],"model's":[39],"level":[40],"symmetry.":[42,109,175],"Much":[43],"early":[46],"work":[47,62],"focuses":[48],"on":[49,64,98,195],"identifying":[50],"in":[52,77,121],"noiseless":[53],"with":[56,127],"most":[57],"existing":[58],"methods":[59,111],"unable":[60],"effectively":[63],"distorted":[66,126],"by":[67,148],"noise,":[68],"such":[69],"as":[70],"those":[71],"commonly":[72],"obtained":[73],"when":[74],"scanning":[75],"objects":[76],"real":[79,140],"world.":[80],"This":[81],"report":[82],"details":[83],"design":[85],"implementation":[87],"two":[89],"robust":[90],"fast":[92],"algorithms,":[93],"which":[94,153],"can":[95],"be":[96],"used":[97],"wide":[100],"variety":[101],"global":[106,172],"approximate":[107,173],"These":[110],"are":[112,146],"also":[113],"able":[114],"likely":[117],"planes":[118,145],"that":[123],"noise":[128],"or":[129],"contain":[130],"minor":[131],"imperfections,":[132],"making":[133],"them":[134],"ideal":[135],"scanned":[137],"world":[141],"objects.":[142],"hypothesis":[144],"determined":[147],"principal":[149],"component":[150],"analysis,":[151],"after":[152],"give":[157],"each":[158],"plane":[159,170],"numerical":[161],"value":[162],"corresponding":[163],"its":[165],"likelihood":[166],"being":[168],"first":[177],"algorithm":[178],"uses":[179,191],"Hausdorff":[181],"distance":[182],"between":[183],"vertices":[184],"estimate":[186],"symmetry,":[187],"whilst":[188],"second":[190],"approach":[193],"based":[194],"ray":[196],"casting.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}