{"id":"https://openalex.org/W6963882730","doi":"https://doi.org/10.2312/sgp/sgp05/023-032","title":"Example-Based 3D Scan Completion","display_name":"Example-Based 3D Scan Completion","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W6963882730","doi":"https://doi.org/10.2312/sgp/sgp05/023-032"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.61.6890","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hci.stanford.edu/cstr/reports/2005-03.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/149337","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5150822699","display_name":"Mark V. Pauly","orcid":"https://orcid.org/0000-0003-4957-4825","observed_orcids":["https://orcid.org/0000-0003-4957-4825"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pauly, Mark","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitra, Niloy J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027313464","display_name":"Joachim Giesen","orcid":"https://orcid.org/0000-0001-6598-6833","observed_orcids":["https://orcid.org/0000-0001-6598-6833"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giesen, Joachim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033076979","display_name":"Markus H. Gro\u00df","orcid":"https://orcid.org/0009-0003-9324-779X","observed_orcids":["https://orcid.org/0009-0003-9324-779X","https://orcid.org/0000-0002-6838-9775"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gross, Markus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065368881","display_name":"Leonidas Guibas","orcid":"https://orcid.org/0000-0002-8315-4886","observed_orcids":["https://orcid.org/0000-0002-8315-4886"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guibas, Leonidas J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.7628,"has_fulltext":false,"cited_by_count":236,"citation_normalized_percentile":{"value":0.97940018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.0003000000142492354,"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":9.999999747378752e-05,"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/model-blending","display_name":"model blending","score":0.5270000100135803},{"id":"https://openalex.org/keywords/data-uncertainty","display_name":"data uncertainty","score":0.5130000114440918},{"id":"https://openalex.org/keywords/3d-model-generation","display_name":"3D model reconstruction","score":0.7409999966621399}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6230000257492065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6067000031471252},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.5827999711036682},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5792999863624573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.529699981212616},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5281999707221985},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4117000102996826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40700000524520874},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.396699994802475},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32919999957084656},{"id":"https://openalex.org/C2779538338","wikidata":"https://www.wikidata.org/wiki/Q2990590","display_name":"Completion (oil and gas wells)","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29440000653266907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2856999933719635},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":6,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.61.6890","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hci.stanford.edu/cstr/reports/2005-03.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.84.1607","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.1607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.ethz.ch/personal/giesen/pub/sgp05.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1329973","doi":null,"is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1329973/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Desbrun, M and Pottmann, H, (eds.) (pp. pp. 23-32). Eurographics Association (2005)","raw_type":"Proceedings paper"},{"id":"pmh:oai:infoscience.epfl.ch:149337","doi":null,"is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/149337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:149337","doi":null,"is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/50809","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},{"id":"doi:10.2312/sgp/sgp05/023-032","doi":"https://doi.org/10.2312/sgp/sgp05/023-032","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sgp/sgp05/023-032","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:149337","doi":null,"is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/149337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1503702009","https://openalex.org/W1565233179","https://openalex.org/W1857762383","https://openalex.org/W1964374205","https://openalex.org/W1977758817","https://openalex.org/W1981940178","https://openalex.org/W1984713107","https://openalex.org/W2009422376","https://openalex.org/W2016331656","https://openalex.org/W2038091466","https://openalex.org/W2061010610","https://openalex.org/W2077678691","https://openalex.org/W2078970441","https://openalex.org/W2079017595","https://openalex.org/W2098355846","https://openalex.org/W2099011563","https://openalex.org/W2100816864","https://openalex.org/W2109200236","https://openalex.org/W2122007052","https://openalex.org/W2124561101","https://openalex.org/W2129098897","https://openalex.org/W2153487529","https://openalex.org/W2154297286","https://openalex.org/W2158455546","https://openalex.org/W2158905481","https://openalex.org/W2159475546","https://openalex.org/W2162463235","https://openalex.org/W2165649407","https://openalex.org/W2169990827","https://openalex.org/W2199460564","https://openalex.org/W2237250383","https://openalex.org/W2998590421","https://openalex.org/W3001217199","https://openalex.org/W3006223838","https://openalex.org/W3127705606","https://openalex.org/W6963905028"],"related_works":["https://openalex.org/W7133222552","https://openalex.org/W4224903055","https://openalex.org/W7147258642","https://openalex.org/W2995437133","https://openalex.org/W4402753765","https://openalex.org/W3173472834","https://openalex.org/W7056156412","https://openalex.org/W7162554651","https://openalex.org/W2126616662","https://openalex.org/W7160282589"],"abstract_inverted_index":{"We":[0,65,126],"present":[1],"a":[2,7,19,67,91,129],"novel":[3],"approach":[4],"for":[5,28,76,156],"obtaining":[6],"complete":[8],"and":[9,52,72,94,116],"consistent":[10,136],"3D":[11,22,63,166],"model":[12],"representation":[13],"from":[14,39,141],"incomplete":[15,143],"surface":[16],"scans,":[17,158],"using":[18],"database":[20],"of":[21,30,81,96,99,131,164],"shapes":[23],"to":[24,46,58,112,122],"provide":[25],"geometric":[26],"priors":[27],"regions":[29],"missing":[31],"data.":[32,88],"Our":[33,107],"method":[34],"retrieves":[35],"suitable":[36],"context":[37,83],"models":[38,45,57,84,137],"the":[40,43,49,55,60,78,82,86,97,100,149,162],"database,":[41],"warps":[42],"retrieved":[44],"conform":[47],"with":[48,85],"input":[50,87],"data,":[51],"consistently":[53],"blends":[54],"warped":[56],"obtain":[59],"final":[61],"consolidated":[62],"shape.":[64],"define":[66],"shape":[68,101,150],"matching":[69],"penalty":[70],"function":[71],"corresponding":[73],"optimization":[74],"scheme":[75],"computing":[77],"non-rigid":[79],"alignment":[80],"This":[89],"allows":[90],"quantitative":[92],"evaluation":[93],"comparison":[95],"quality":[98],"extrapolation":[102],"provided":[103],"by":[104],"each":[105],"model.":[106],"algorithms":[108],"are":[109],"explicitly":[110],"designed":[111],"accommodate":[113],"uncertain":[114],"data":[115,133],"can":[117,138,153],"thus":[118,159],"be":[119,139,154],"applied":[120],"directly":[121],"raw":[123],"scanner":[124],"output.":[125],"show":[127],"on":[128],"variety":[130],"real":[132],"sets":[134],"how":[135],"obtained":[140],"highly":[142],"input.":[144],"The":[145],"information":[146],"gained":[147],"during":[148],"completion":[151],"process":[152],"utilized":[155],"future":[157],"continuously":[160],"simplifying":[161],"creation":[163],"complex":[165],"models.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":9}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-10-10T00:00:00"}
