{"id":"https://openalex.org/W2084180431","doi":"https://doi.org/10.1109/3dtv.2013.6676652","title":"3D-PIC: Power Iteration Clustering for segmenting three-dimensional models","display_name":"3D-PIC: Power Iteration Clustering for segmenting three-dimensional models","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2084180431","doi":"https://doi.org/10.1109/3dtv.2013.6676652","mag":"2084180431"},"language":"en","primary_location":{"id":"doi:10.1109/3dtv.2013.6676652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2013.6676652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 3DTV Vision Beyond Depth (3DTV-CON)","raw_type":"proceedings-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/A5063227558","display_name":"Zahra Toony","orcid":null},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zahra Toony","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","Dept. of Electr. & Comput. Eng., Univ. Laval, Quebec City, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","institution_ids":["https://openalex.org/I43406934"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Laval, Quebec City, QC, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090585779","display_name":"Denis Laurendeau","orcid":"https://orcid.org/0000-0003-2858-5955"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Denis Laurendeau","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","Dept. of Electr. & Comput. Eng., Univ. Laval, Quebec City, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","institution_ids":["https://openalex.org/I43406934"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Laval, Quebec City, QC, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032902130","display_name":"Philippe Gigu\u00e8re","orcid":"https://orcid.org/0000-0002-7520-8290"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Philippe Giguere","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","Dept. of Comput. Sci. & Software Eng., Univ. Laval, Quebec City, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","institution_ids":["https://openalex.org/I43406934"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Software Eng., Univ. Laval, Quebec City, QC, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045218915","display_name":"Christian Gagn\u00e9","orcid":"https://orcid.org/0000-0003-3697-4184"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christian Gagne","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","Dept. of Electr. & Comput. Eng., Univ. Laval, Quebec City, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Universit\u00e9 Laval Qu\u00e9bec, QC, Canada","institution_ids":["https://openalex.org/I43406934"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Laval, Quebec City, QC, Canada","institution_ids":["https://openalex.org/I43406934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14505677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"92","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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":0.771598219871521},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6997890472412109},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6886584162712097},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.6342653036117554},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6332844495773315},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6030198931694031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5419119596481323},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.505518913269043},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.4727276861667633},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44871264696121216},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4322145879268646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3589339256286621},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2674143314361572}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771598219871521},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6997890472412109},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6886584162712097},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6342653036117554},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6332844495773315},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6030198931694031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5419119596481323},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.505518913269043},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.4727276861667633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44871264696121216},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4322145879268646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3589339256286621},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2674143314361572},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/3dtv.2013.6676652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2013.6676652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 3DTV Vision Beyond Depth (3DTV-CON)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.7372","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.7372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.gel.ulaval.ca/~cgagne/pubs/3dtv-2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320334618","display_name":"Fonds de Recherche du Qu\u00e9bec - Sant\u00e9","ror":"https://ror.org/02eqrsj93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W204135500","https://openalex.org/W1578099820","https://openalex.org/W1590889181","https://openalex.org/W1976088744","https://openalex.org/W2000018820","https://openalex.org/W2023808821","https://openalex.org/W2044648176","https://openalex.org/W2050204708","https://openalex.org/W2080067164","https://openalex.org/W2091715846","https://openalex.org/W2097820631","https://openalex.org/W2121947440","https://openalex.org/W2125065112","https://openalex.org/W2316587649","https://openalex.org/W4234143236","https://openalex.org/W6608305460","https://openalex.org/W6634702315","https://openalex.org/W6635274415","https://openalex.org/W6674539747"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2045342254","https://openalex.org/W1501331687","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W2501551404","https://openalex.org/W2130144716","https://openalex.org/W1504527458"],"abstract_inverted_index":{"Segmenting":[0],"a":[1,30,43,77,88],"3D":[2,35,56,89,111],"model":[3],"is":[4,11,29,60,74,82,94],"an":[5],"important":[6,32],"challenge":[7],"since":[8],"this":[9,39],"operation":[10],"relevant":[12,23],"for":[13],"many":[14],"applications.":[15],"Making":[16],"the":[17,53,115,121,126],"segmentation":[18,46],"algorithm":[19],"able":[20],"to":[21,52,64,72,86],"find":[22],"and":[24,62,76,99,113,123],"meaningful":[25],"geometric":[26],"primitives":[27],"automatically":[28],"very":[31],"step":[33],"in":[34,84,114,128],"image":[36],"processing.":[37],"In":[38],"paper,":[40],"we":[41],"adapted":[42],"2D":[44],"spectral":[45],"method,":[47],"Power":[48],"Iteration":[49],"Clustering":[50],"(PIC),":[51],"case":[54],"of":[55,80,117,125],"models.":[57],"This":[58],"method":[59,93,127],"fast":[61],"easy":[63],"implement.":[65],"A":[66],"similarity":[67],"matrix":[68],"based":[69],"on":[70,96,105],"normals":[71],"vertices":[73],"defined":[75],"modified":[78],"version":[79],"PIC":[81],"implemented":[83],"order":[85],"segment":[87],"model.":[90],"The":[91],"proposed":[92],"validated":[95],"both":[97],"free-form":[98],"CAD":[100],"(Computer":[101],"Aided":[102],"Design)":[103],"models,":[104],"real":[106],"data":[107],"captured":[108],"by":[109],"handheld":[110],"scanners,":[112],"presence":[116],"noise.":[118],"Results":[119],"demonstrate":[120],"efficiency":[122],"robustness":[124],"all":[129],"cases.":[130]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}