{"id":"https://openalex.org/W2137170166","doi":"https://doi.org/10.2312/3dor/3dor12/025-032","title":"Key-component Detection on 3D Meshes using Local Features","display_name":"Key-component Detection on 3D Meshes using Local Features","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2137170166","doi":"https://doi.org/10.2312/3dor/3dor12/025-032","mag":"2137170166"},"language":"en","primary_location":{"id":"doi:10.2312/3dor/3dor12/025-032","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor12/025-032","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/3dor/3dor12/025-032","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055991257","display_name":"Ivan Sipiran","orcid":"https://orcid.org/0000-0002-8766-3581"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Sipiran, Ivan","raw_affiliation_strings":["KDW-PRISMA Research Group, Department of Computer Science, University of Chile#TAB#"],"affiliations":[{"raw_affiliation_string":"KDW-PRISMA Research Group, Department of Computer Science, University of Chile#TAB#","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009309241","display_name":"Benjam\u00edn Bustos","orcid":"https://orcid.org/0000-0002-3955-361X"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Bustos, Benjamin","raw_affiliation_strings":["KDW-PRISMA Research Group, Department of Computer Science, University of Chile#TAB#"],"affiliations":[{"raw_affiliation_string":"KDW-PRISMA Research Group, Department of Computer Science, University of Chile#TAB#","institution_ids":["https://openalex.org/I69737025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055991257"],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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/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/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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/polygon-mesh","display_name":"Polygon mesh","score":0.8753278255462646},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7829172611236572},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7794474363327026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730742335319519},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6635643839836121},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6526840329170227},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5315677523612976},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5029770731925964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48844829201698303},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48633652925491333},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4836250841617584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45825067162513733},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.42885464429855347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15648984909057617},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0841057300567627},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.068431556224823}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.8753278255462646},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7829172611236572},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7794474363327026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730742335319519},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6635643839836121},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6526840329170227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5315677523612976},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5029770731925964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48844829201698303},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48633652925491333},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4836250841617584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45825067162513733},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.42885464429855347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15648984909057617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0841057300567627},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.068431556224823},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/3dor/3dor12/025-032","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor12/025-032","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2137170166","is_oa":false,"landing_page_url":"https://users.dcc.uchile.cl/~isipiran/papers/SB12.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Eurographics","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/3dor/3dor12/025-032","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor12/025-032","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1548141205","https://openalex.org/W1597141413","https://openalex.org/W1972713978","https://openalex.org/W1981618912","https://openalex.org/W1988014332","https://openalex.org/W2006527792","https://openalex.org/W2011798472","https://openalex.org/W2019891074","https://openalex.org/W2020682184","https://openalex.org/W2023808821","https://openalex.org/W2041306713","https://openalex.org/W2121717885","https://openalex.org/W2127486527","https://openalex.org/W2141411966","https://openalex.org/W3099839986"],"related_works":["https://openalex.org/W2100657858","https://openalex.org/W2295332248","https://openalex.org/W2294879381","https://openalex.org/W2142325307","https://openalex.org/W2516753408","https://openalex.org/W2151636374","https://openalex.org/W2395937778","https://openalex.org/W26711722","https://openalex.org/W2183782426","https://openalex.org/W2091791686","https://openalex.org/W2041306713","https://openalex.org/W2157946843","https://openalex.org/W2135170744","https://openalex.org/W2489718698","https://openalex.org/W1969206813","https://openalex.org/W2118673065","https://openalex.org/W2415160455","https://openalex.org/W2126920301","https://openalex.org/W3034461893","https://openalex.org/W2287283076"],"abstract_inverted_index":{"In":[0,77],"this":[1],"paper,":[2],"we":[3,41],"present":[4],"a":[5,17,32,36,106],"method":[6],"to":[7,30,71,86,95],"detect":[8],"stable":[9],"components":[10,111],"on":[11,19],"3D":[12,33],"meshes.":[13],"A":[14],"component":[15],"is":[16,29,83,108],"region":[18],"the":[20,46,79,110,121,124,132],"mesh":[21,34,72],"which":[22,40],"contains":[23],"discriminative":[24],"local":[25,88],"features.":[26],"Our":[27],"goal":[28],"represent":[31],"with":[35],"set":[37],"of":[38,81,105],"regions,":[39],"called":[42],"key-components,":[43],"that":[44,109,123],"characterize":[45],"represented":[47],"object":[48],"and":[49,58],"therefore,":[50],"they":[51,67],"could":[52],"be":[53,113],"used":[54],"for":[55],"effective":[56],"matching":[57],"recognition.":[59],"As":[60],"key-components":[61,82,125],"are":[62,68,126],"features":[63],"in":[64,98,120],"coarse":[65],"scales,":[66],"less":[69],"sensitive":[70],"deformations":[73],"such":[74,90],"as":[75,91],"noise.":[76],"addition,":[78],"number":[80],"low":[84],"compared":[85],"other":[87],"representations":[89],"keypoints,":[92],"allowing":[93],"us":[94],"use":[96],"them":[97],"efficient":[99],"subsequent":[100],"tasks.":[101],"An":[102],"desirable":[103],"characteristic":[104],"decomposition":[107],"should":[112],"repeatable":[114,127],"regardless":[115],"shape":[116],"transformations.":[117],"We":[118],"show":[119],"experiments":[122],"under":[128],"several":[129],"transformations":[130],"using":[131],"SHREC'2010":[133],"feature":[134],"detection":[135],"benchmark.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}