{"id":"https://openalex.org/W1551758013","doi":"https://doi.org/10.4230/oasics.vluds.2010.90","title":"Methods for Feature Detection in Point Clouds","display_name":"Methods for Feature Detection in Point Clouds","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1551758013","doi":"https://doi.org/10.4230/oasics.vluds.2010.90","mag":"1551758013"},"language":"en","primary_location":{"id":"pmh:oai:drops-oai.dagstuhl.de:3101","is_oa":false,"landing_page_url":"https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2010.90","pdf_url":null,"source":{"id":"https://openalex.org/S4377196569","display_name":"DROPS (Schloss Dagstuhl \u2013 Leibniz Center for Informatics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799853480","host_organization_name":"Schloss Dagstuhl \u2013 Leibniz Center for Informatics","host_organization_lineage":["https://openalex.org/I2799853480"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"InProceedings"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.4230/oasics.vluds.2010.90","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045348987","display_name":"C. R. Weber","orcid":"https://orcid.org/0000-0003-1233-1694"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Weber, Christopher","raw_affiliation_strings":["Department of Computer Science [Kaiserslautern] (Postfach 3049 67653 Kaiserslautern Germany - Germany)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science [Kaiserslautern] (Postfach 3049 67653 Kaiserslautern Germany - Germany)","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078137076","display_name":"St\u00e9fanie Hahmann","orcid":"https://orcid.org/0000-0001-8623-7225"},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hahmann, Stefanie","raw_affiliation_strings":["EVASION - Virtual environments for animation and image synthesis of natural objects (Inria Grenoble - Rh\u00f4ne-Alpes 655 avenue de l'Europe - Montbonnot 38334 Saint Ismier Cedex - France)"],"affiliations":[{"raw_affiliation_string":"EVASION - Virtual environments for animation and image synthesis of natural objects (Inria Grenoble - Rh\u00f4ne-Alpes 655 avenue de l'Europe - Montbonnot 38334 Saint Ismier Cedex - France)","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005530908","display_name":"Hans Hagen","orcid":"https://orcid.org/0000-0001-5626-963X"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hagen, Hans","raw_affiliation_strings":["Department of Computer Science [Kaiserslautern] (Postfach 3049 67653 Kaiserslautern Germany - Germany)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science [Kaiserslautern] (Postfach 3049 67653 Kaiserslautern Germany - Germany)","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045348987"],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":3.90043579,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9279596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9993000030517578,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7468266487121582},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7383497357368469},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7090401649475098},{"id":"https://openalex.org/keywords/gauss","display_name":"Gauss","score":0.7065237164497375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.598511815071106},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5860227346420288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425944328308105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5032488703727722},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4787139892578125},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.43026891350746155},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42163345217704773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3711370825767517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33051633834838867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2672445476055145},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13007211685180664},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11873301863670349},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11619448661804199},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.11494675278663635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07132184505462646}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7468266487121582},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7383497357368469},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7090401649475098},{"id":"https://openalex.org/C161794534","wikidata":"https://www.wikidata.org/wiki/Q177493","display_name":"Gauss","level":2,"score":0.7065237164497375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598511815071106},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5860227346420288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425944328308105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5032488703727722},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4787139892578125},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.43026891350746155},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42163345217704773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3711370825767517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33051633834838867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2672445476055145},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13007211685180664},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11873301863670349},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11619448661804199},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.11494675278663635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07132184505462646},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:drops-oai.dagstuhl.de:3101","is_oa":false,"landing_page_url":"https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2010.90","pdf_url":null,"source":{"id":"https://openalex.org/S4377196569","display_name":"DROPS (Schloss Dagstuhl \u2013 Leibniz Center for Informatics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799853480","host_organization_name":"Schloss Dagstuhl \u2013 Leibniz Center for Informatics","host_organization_lineage":["https://openalex.org/I2799853480"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"InProceedings"},{"id":"pmh:oai:HAL:hal-00921790v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-00921790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop), Mar 2010, Bodega Bay, CA, United States. pp.90-99, ⟨10.4230/OASIcs.VLUDS.2010.90⟩","raw_type":"Conference papers"},{"id":"doi:10.4230/oasics.vluds.2010.90","is_oa":true,"landing_page_url":"https://doi.org/10.4230/oasics.vluds.2010.90","pdf_url":null,"source":{"id":"https://openalex.org/S7407052059","display_name":"Dagstuhl Research Online Publication Server","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":""}],"best_oa_location":{"id":"doi:10.4230/oasics.vluds.2010.90","is_oa":true,"landing_page_url":"https://doi.org/10.4230/oasics.vluds.2010.90","pdf_url":null,"source":{"id":"https://openalex.org/S7407052059","display_name":"Dagstuhl Research Online Publication Server","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":""},"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W206063426","https://openalex.org/W1554944419","https://openalex.org/W1965722128","https://openalex.org/W2004402003","https://openalex.org/W2011981813","https://openalex.org/W2020065037","https://openalex.org/W2058524213","https://openalex.org/W2070597190","https://openalex.org/W2100196192","https://openalex.org/W2120777512","https://openalex.org/W2149306172","https://openalex.org/W2149887512","https://openalex.org/W2167832640"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2358906198","https://openalex.org/W2936725271","https://openalex.org/W4379791551","https://openalex.org/W1997438849","https://openalex.org/W2980144549","https://openalex.org/W3106568383","https://openalex.org/W1780126258","https://openalex.org/W4210656569"],"abstract_inverted_index":{"This":[0],"paper":[1],"gives":[2],"an":[3,32],"overview":[4],"over":[5],"several":[6],"techniques":[7],"for":[8],"detection":[9],"of":[10,73],"features,":[11,16],"and":[12],"in":[13,46,66],"particular":[14],"sharp":[15,59],"on":[17,43],"point-sampled":[18],"geometry.":[19],"In":[20],"addition,":[21],"a":[22,39,58],"new":[23],"technique":[24],"using":[25],"the":[26,71,74],"Gauss":[27,40],"map":[28,41],"is":[29,64],"shown.":[30],"Given":[31],"unstructured":[33],"point":[34],"cloud,":[35],"this":[36,67],"method":[37],"computes":[38],"clustering":[42],"local":[44],"neighborhoods":[45],"order":[47],"to":[48,55,57,69],"discard":[49],"all":[50],"points":[51],"that":[52],"are":[53],"unlikely":[54],"belong":[56],"feature.":[60],"A":[61],"single":[62],"parameter":[63],"used":[65],"stage":[68],"control":[70],"sensitivity":[72],"feature":[75],"detection.":[76]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}