{"id":"https://openalex.org/W2593484175","doi":"https://doi.org/10.1007/978-3-319-54190-7_23","title":"3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data","display_name":"3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2593484175","doi":"https://doi.org/10.1007/978-3-319-54190-7_23","mag":"2593484175"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-54190-7_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-54190-7_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01882625/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014947118","display_name":"Laurent Caraffa","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Laurent Caraffa","raw_affiliation_strings":["IGN Recherche, SRIG, MATIS, Universit\u00e9 Paris-Est, Champs-sur-Marne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN Recherche, SRIG, MATIS, Universit\u00e9 Paris-Est, Champs-sur-Marne, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083797484","display_name":"Mathieu Br\u00e9dif","orcid":"https://orcid.org/0000-0003-0228-1232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathieu Br\u00e9dif","raw_affiliation_strings":["IGN Recherche, SRIG, MATIS, Universit\u00e9 Paris-Est, Champs-sur-Marne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN Recherche, SRIG, MATIS, Universit\u00e9 Paris-Est, Champs-sur-Marne, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038083385","display_name":"Bruno Vallet","orcid":"https://orcid.org/0000-0002-9492-5180"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bruno Vallet","raw_affiliation_strings":["IGN Recherche, SRIG, MATIS, Universit\u00e9 Paris-Est, Champs-sur-Marne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IGN Recherche, SRIG, MATIS, Universit\u00e9 Paris-Est, Champs-sur-Marne, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014947118"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3323,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.9024798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/triangle-mesh","display_name":"Triangle mesh","score":0.5585910677909851},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5498226284980774},{"id":"https://openalex.org/keywords/signed-distance-function","display_name":"Signed distance function","score":0.49232590198516846},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4842240810394287},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.45275378227233887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4526500701904297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4454350769519806},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.42362916469573975},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41299086809158325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.387283593416214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3484309911727905},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34258508682250977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19892233610153198},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18517625331878662},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.1724490225315094}],"concepts":[{"id":"https://openalex.org/C194401833","wikidata":"https://www.wikidata.org/wiki/Q3456889","display_name":"Triangle mesh","level":3,"score":0.5585910677909851},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5498226284980774},{"id":"https://openalex.org/C71169176","wikidata":"https://www.wikidata.org/wiki/Q7512907","display_name":"Signed distance function","level":2,"score":0.49232590198516846},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4842240810394287},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.45275378227233887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4526500701904297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4454350769519806},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.42362916469573975},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41299086809158325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.387283593416214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3484309911727905},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34258508682250977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19892233610153198},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18517625331878662},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.1724490225315094},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-54190-7_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-54190-7_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01882625v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01882625","pdf_url":"https://hal.science/hal-01882625/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Asian Conference on Computer Vision (ACCV), Nov 2016, Taipei, Taiwan. pp.377--391, &#x27E8;10.1007/978-3-319-54190-7_23&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01882625v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01882625","pdf_url":"https://hal.science/hal-01882625/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Asian Conference on Computer Vision (ACCV), Nov 2016, Taipei, Taiwan. pp.377--391, &#x27E8;10.1007/978-3-319-54190-7_23&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7799999713897705,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2593484175.pdf","grobid_xml":"https://content.openalex.org/works/W2593484175.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969204979","https://openalex.org/W1987985833","https://openalex.org/W2000081328","https://openalex.org/W2005686772","https://openalex.org/W2009422376","https://openalex.org/W2022512855","https://openalex.org/W2024395588","https://openalex.org/W2062681084","https://openalex.org/W2074078071","https://openalex.org/W2085844081","https://openalex.org/W2086550580","https://openalex.org/W2113137767","https://openalex.org/W2113859792","https://openalex.org/W2114651545","https://openalex.org/W2119229249","https://openalex.org/W2139331573","https://openalex.org/W2143516773","https://openalex.org/W2165306775","https://openalex.org/W3046841599","https://openalex.org/W4234370409"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W2354906073","https://openalex.org/W2366513653","https://openalex.org/W2042186932"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
