{"id":"https://openalex.org/W4237162356","doi":"https://doi.org/10.1145/1399504.1360684","title":"4-points congruent sets for robust pairwise surface registration","display_name":"4-points congruent sets for robust pairwise surface registration","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W4237162356","doi":"https://doi.org/10.1145/1399504.1360684"},"language":"en","primary_location":{"id":"doi:10.1145/1399504.1360684","doi":"https://doi.org/10.1145/1399504.1360684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1399504.1360684","pdf_url":null,"source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2008 papers","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5088483236","display_name":"Dror Aiger","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dror Aiger","raw_affiliation_strings":["Ben Gurion University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ben Gurion University","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058170430","display_name":"Niloy J. Mitra","orcid":"https://orcid.org/0000-0002-2597-0914","observed_orcids":["https://orcid.org/0000-0002-2597-0914"]},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Niloy J. Mitra","raw_affiliation_strings":["IIT Delhi, TU Vienna"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Delhi, TU Vienna","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445","observed_orcids":["https://orcid.org/0000-0001-6777-7445"]},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Cohen-Or","raw_affiliation_strings":["Tel Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3709,"has_fulltext":false,"cited_by_count":290,"citation_normalized_percentile":{"value":0.9529771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9839000105857849,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9839000105857849,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0034000000450760126,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.00279999990016222,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"rigid transformation","score":0.7649999856948853},{"id":"https://openalex.org/keywords/outlier-robustness","display_name":"outlier robustness","score":0.6359999775886536},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.6710000038146973},{"id":"https://openalex.org/keywords/similarity-transformation","display_name":"similarity transformation","score":0.5400000214576721},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"affine transformation","score":0.9660000205039978},{"id":"https://openalex.org/keywords/range-scans","display_name":"range scans","score":0.7300000190734863},{"id":"https://openalex.org/keywords/local-descriptors","display_name":"local descriptors","score":0.6470000147819519}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7992857098579407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378538370132446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5112869739532471},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.46339160203933716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39613503217697144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33723485469818115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3332372307777405},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14874690771102905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1399504.1360684","doi":"https://doi.org/10.1145/1399504.1360684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1399504.1360684","pdf_url":null,"source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2008 papers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1590837181","https://openalex.org/W1993267444","https://openalex.org/W1994145474","https://openalex.org/W2010209818","https://openalex.org/W2019874855","https://openalex.org/W2033554200","https://openalex.org/W2049981393","https://openalex.org/W2063549868","https://openalex.org/W2066863160","https://openalex.org/W2071423278","https://openalex.org/W2085261163","https://openalex.org/W2096163668","https://openalex.org/W2100968369","https://openalex.org/W2130518695","https://openalex.org/W2133049569","https://openalex.org/W2144071905","https://openalex.org/W2157653807","https://openalex.org/W2158455546","https://openalex.org/W2427881153","https://openalex.org/W2895141789","https://openalex.org/W4239796483"],"related_works":["https://openalex.org/W7098633383","https://openalex.org/W1982018193","https://openalex.org/W2076965120","https://openalex.org/W6996352506","https://openalex.org/W3194742307","https://openalex.org/W7002367467","https://openalex.org/W2738467687","https://openalex.org/W2178371335","https://openalex.org/W2292434285","https://openalex.org/W6910909218"],"abstract_inverted_index":{"We":[0,157,183],"introduce":[1],"4PCS,":[2],"a":[3,56,79,89,101],"fast":[4],"and":[5,25,125,141,165,203],"robust":[6],"alignment":[7,181],"scheme":[8],"for":[9],"3D":[10,90],"point":[11,91],"sets":[12,87,192],"that":[13,93],"uses":[14],"wide":[15],"bases,":[16],"which":[17],"are":[18,94],"known":[19],"to":[20,23,54,82,100,153,162,178],"be":[21],"resilient":[22],"noise":[24,137],"outliers.":[26],"The":[27],"algorithm":[28,189],"allows":[29],"registering":[30],"raw":[31],"noisy":[32],"data,":[33],"possibly":[34],"contaminated":[35],"with":[36,197],"outliers,":[37,202],"without":[38,68],"pre-filtering":[39],"or":[40],"denoising":[41],"the":[42,45,49,60,64,120,128,149,185],"data.":[43],"Further,":[44],"method":[46,75],"significantly":[47],"reduces":[48,152],"number":[50,121,129],"of":[51,66,104,122,130,173,187,193,200,205],"trials":[52],"required":[53],"establish":[55],"reliable":[57],"registration":[58],"between":[59],"underlying":[61],"surfaces":[62],"in":[63,111],"presence":[65],"noise,":[67,201],"any":[69],"assumptions":[70],"about":[71],"starting":[72],"alignment.":[73],"Our":[74,168],"is":[76,119,127,139,143],"based":[77],"on":[78,190],"novel":[80],"technique":[81,169],"extract":[83],"all":[84],"coplanar":[85,105],"4-points":[86,132],"from":[88],"set":[92,103],"approximately":[95],"congruent,":[96],"under":[97],"rigid":[98],"transformation,":[99],"given":[102],"4-points.":[106],"This":[107],"extraction":[108],"procedure":[109],"runs":[110],"roughly":[112],"O(n2":[113],"+":[114,155],"k)":[115],"time,":[116],"where":[117],"n":[118],"candidate":[123],"points":[124],"k":[126],"reported":[131],"sets.":[133],"In":[134],"practice,":[135],"when":[136],"level":[138],"low":[140],"there":[142],"sufficient":[144],"overlap,":[145],"using":[146],"local":[147],"descriptors":[148],"time":[150],"complexity":[151],"O(n":[154],"k).":[156],"also":[158],"propose":[159],"an":[160,171],"extension":[161],"handle":[163],"similarity":[164],"affine":[166],"transforms.":[167],"achieves":[170],"order":[172],"magnitude":[174],"asymptotic":[175],"acceleration":[176],"compared":[177],"common":[179],"randomized":[180],"techniques.":[182],"demonstrate":[184],"robustness":[186],"our":[188],"several":[191],"multiple":[194],"range":[195],"scans":[196],"varying":[198],"degree":[199],"extent":[204],"overlap.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-05-12T00:00:00"}
