{"id":"https://openalex.org/W2019115117","doi":"https://doi.org/10.1145/2517967","title":"Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry","display_name":"Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2019115117","doi":"https://doi.org/10.1145/2517967","mag":"2019115117"},"language":"en","primary_location":{"id":"doi:10.1145/2517967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2517967","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","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/A5003981917","display_name":"Gary K.L. Tam","orcid":"https://orcid.org/0000-0001-7387-5180"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]},{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Gary K. L. Tam","raw_affiliation_strings":["Cardiff University and Swansea University, UK"],"affiliations":[{"raw_affiliation_string":"Cardiff University and Swansea University, UK","institution_ids":["https://openalex.org/I39586589","https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111609957","display_name":"Ralph R. Martin","orcid":null},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ralph R. Martin","raw_affiliation_strings":["Cardiff University, UK"],"affiliations":[{"raw_affiliation_string":"Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068129380","display_name":"Paul L. Rosin","orcid":"https://orcid.org/0000-0002-4965-3884"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul L. Rosin","raw_affiliation_strings":["Cardiff University, UK"],"affiliations":[{"raw_affiliation_string":"Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067850699","display_name":"Yu\u2010Kun Lai","orcid":"https://orcid.org/0000-0002-2094-5680"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu-Kun Lai","raw_affiliation_strings":["Cardiff University, UK"],"affiliations":[{"raw_affiliation_string":"Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003981917"],"corresponding_institution_ids":["https://openalex.org/I39586589","https://openalex.org/I79510175"],"apc_list":null,"apc_paid":null,"fwci":6.7398,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97227899,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"1","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9993000030517578,"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":0.9993000030517578,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9987999796867371,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.7036928534507751},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6567337512969971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158746480941772},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6091756820678711},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5321637392044067},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4945046603679657},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4557064175605774},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.43850597739219666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3794221878051758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3666462302207947},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16838982701301575}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.7036928534507751},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6567337512969971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158746480941772},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6091756820678711},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5321637392044067},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4945046603679657},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4557064175605774},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.43850597739219666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3794221878051758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3666462302207947},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16838982701301575},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2517967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2517967","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:http://orca.cardiff.ac.uk:57387","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:cronfa.swan.ac.uk:cronfa20809","is_oa":false,"landing_page_url":"https://cronfa.swan.ac.uk/Record/cronfa20809","pdf_url":null,"source":{"id":"https://openalex.org/S4306401612","display_name":"Cronfa (Swansea University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39586589","host_organization_name":"Swansea University","host_organization_lineage":["https://openalex.org/I39586589"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},{"id":"pmh:oai:http://orca-dev.cardiff.ac.uk:57387","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/id/eprint/57387/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G277266924","display_name":null,"funder_award_id":"EP/I000100/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G689112838","display_name":"Intelligent Shape Editing with Robust Feature Analysis","funder_award_id":"EP/I000100/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320309018","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1578099820","https://openalex.org/W1590776313","https://openalex.org/W1883517952","https://openalex.org/W1965805571","https://openalex.org/W1969076082","https://openalex.org/W1976483474","https://openalex.org/W1977545325","https://openalex.org/W1982465050","https://openalex.org/W1985290145","https://openalex.org/W1989191365","https://openalex.org/W1998664500","https://openalex.org/W2000682967","https://openalex.org/W2002792327","https://openalex.org/W2010209818","https://openalex.org/W2012385660","https://openalex.org/W2025062188","https://openalex.org/W2026573466","https://openalex.org/W2026935851","https://openalex.org/W2037232171","https://openalex.org/W2042246564","https://openalex.org/W2047161559","https://openalex.org/W2049981393","https://openalex.org/W2054381235","https://openalex.org/W2057427057","https://openalex.org/W2073431710","https://openalex.org/W2074146319","https://openalex.org/W2077031952","https://openalex.org/W2083663247","https://openalex.org/W2097797924","https://openalex.org/W2098466221","https://openalex.org/W2098578926","https://openalex.org/W2099011563","https://openalex.org/W2099606917","https://openalex.org/W2099897767","https://openalex.org/W2100657858","https://openalex.org/W2105106232","https://openalex.org/W2106210044","https://openalex.org/W2111957157","https://openalex.org/W2115298906","https://openalex.org/W2117684310","https://openalex.org/W2122007052","https://openalex.org/W2123487031","https://openalex.org/W2127025496","https://openalex.org/W2127952943","https://openalex.org/W2137733660","https://openalex.org/W2146700972","https://openalex.org/W2152953631","https://openalex.org/W2153487529","https://openalex.org/W2153759571","https://openalex.org/W2155161883","https://openalex.org/W2158697242","https://openalex.org/W2160643963","https://openalex.org/W2161253909","https://openalex.org/W2161984370","https://openalex.org/W2165939338","https://openalex.org/W2166820607","https://openalex.org/W2167551186","https://openalex.org/W2167769608","https://openalex.org/W2173758409","https://openalex.org/W2235901111","https://openalex.org/W2268722748","https://openalex.org/W2294879381","https://openalex.org/W2914576553","https://openalex.org/W3111937800","https://openalex.org/W4213367101","https://openalex.org/W4230962939","https://openalex.org/W4236573885","https://openalex.org/W4239796483","https://openalex.org/W4241422529","https://openalex.org/W4251944521","https://openalex.org/W4252995899"],"related_works":["https://openalex.org/W1978591761","https://openalex.org/W2941285539","https://openalex.org/W4287661821","https://openalex.org/W1579299075","https://openalex.org/W4206698794","https://openalex.org/W1575981832","https://openalex.org/W3089249579","https://openalex.org/W3133864228","https://openalex.org/W2604931180","https://openalex.org/W1982132340"],"abstract_inverted_index":{"Finding":[0],"correspondences":[1,19,49],"between":[2],"two":[3],"surfaces":[4],"is":[5,71,78,142],"a":[6,40,45,68,130],"fundamental":[7],"operation":[8],"in":[9,12,95,120],"various":[10],"applications":[11],"computer":[13],"graphics":[14],"and":[15,64,89,126],"related":[16,66],"fields.":[17],"Candidate":[18],"can":[20,60],"be":[21,55],"found":[22],"by":[23,67,129],"matching":[24],"local":[25,32],"signatures,":[26],"but":[27],"as":[28],"they":[29],"only":[30,90],"consider":[31],"geometry,":[33],"many":[34,99,148],"are":[35],"globally":[36,56,72],"inconsistent.":[37],"We":[38,109],"provide":[39],"novel":[41],"algorithm":[42],"to":[43,50,54,136,145],"prune":[44],"set":[46],"of":[47,105,132],"candidate":[48],"those":[51],"most":[52],"likely":[53],"consistent.":[57],"Our":[58,82,140],"approach":[59,83,116],"handle":[61],"articulated":[62],"surfaces,":[63],"ones":[65],"deformation":[69,77],"which":[70,102],"nonisometric,":[73],"provided":[74],"that":[75],"the":[76],"locally":[79],"approximately":[80],"isometric.":[81],"uses":[84],"an":[85],"efficient":[86],"diffusion":[87],"framework,":[88],"requires":[91],"geodesic":[92,107],"distance":[93],"calculations":[94],"small":[96],"neighbourhoods,":[97],"unlike":[98,147],"existing":[100,137],"techniques":[101],"require":[103],"computation":[104],"global":[106],"distances.":[108],"demonstrate":[110],"that,":[111],"for":[112],"typical":[113],"examples,":[114],"our":[115],"provides":[117],"significant":[118],"improvements":[119],"accuracy,":[121],"yet":[122],"also":[123],"reduces":[124],"time":[125],"memory":[127],"costs":[128],"factor":[131],"several":[133],"hundred":[134],"compared":[135],"pruning":[138],"techniques.":[139],"method":[141],"furthermore":[143],"insensitive":[144],"holes,":[146],"other":[149],"methods.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
