{"id":"https://openalex.org/W2890123950","doi":"https://doi.org/10.1109/icra.2018.8460532","title":"Gemsketch: Interactive Image-Guided Geometry Extraction from Point Clouds","display_name":"Gemsketch: Interactive Image-Guided Geometry Extraction from Point Clouds","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2890123950","doi":"https://doi.org/10.1109/icra.2018.8460532","mag":"2890123950"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2018.8460532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/9511","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067363483","display_name":"Mehran Maghoumi","orcid":"https://orcid.org/0000-0003-1020-5643"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mehran Maghoumi","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022617294","display_name":"Joseph J. LaVioia","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph J. LaVioia","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052038649","display_name":"Karthik Desingh","orcid":"https://orcid.org/0000-0002-1817-1575"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Desingh","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071106238","display_name":"Odest Chadwicke Jenkins","orcid":"https://orcid.org/0000-0003-3750-7334"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Odest Chadwicke Jenkins","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067363483"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.2081,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51873491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2184","last_page":"2191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7701851725578308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6951612234115601},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6705511808395386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6682078242301941},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6042324304580688},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5536332726478577},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.5516402721405029},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5240095853805542},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4872056841850281},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4821448028087616},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.46842706203460693},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4114196002483368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3928157687187195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21847862005233765},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16545939445495605},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09650576114654541}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7701851725578308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951612234115601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6705511808395386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682078242301941},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6042324304580688},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5536332726478577},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.5516402721405029},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5240095853805542},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4872056841850281},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4821448028087616},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.46842706203460693},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4114196002483368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3928157687187195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21847862005233765},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16545939445495605},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09650576114654541},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2018.8460532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-10510","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/9511","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-10510","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/9511","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W179323378","https://openalex.org/W845365781","https://openalex.org/W1483099933","https://openalex.org/W1644641054","https://openalex.org/W1673310716","https://openalex.org/W1971945398","https://openalex.org/W1978235861","https://openalex.org/W1987648924","https://openalex.org/W1992989752","https://openalex.org/W2000018820","https://openalex.org/W2005756025","https://openalex.org/W2026687385","https://openalex.org/W2030682703","https://openalex.org/W2041625018","https://openalex.org/W2049981393","https://openalex.org/W2050195189","https://openalex.org/W2068400867","https://openalex.org/W2080009145","https://openalex.org/W2083277843","https://openalex.org/W2093910060","https://openalex.org/W2095670967","https://openalex.org/W2097196392","https://openalex.org/W2101102204","https://openalex.org/W2127392014","https://openalex.org/W2137808436","https://openalex.org/W2145023731","https://openalex.org/W2146506577","https://openalex.org/W2171505762","https://openalex.org/W2171786315","https://openalex.org/W2176483514","https://openalex.org/W2200696538","https://openalex.org/W2209124607","https://openalex.org/W2236623899","https://openalex.org/W2337420161","https://openalex.org/W2344810044","https://openalex.org/W2346088699","https://openalex.org/W2419056630","https://openalex.org/W2444097022","https://openalex.org/W2553066529","https://openalex.org/W2566265240","https://openalex.org/W2570352092","https://openalex.org/W2576665611","https://openalex.org/W2600030077","https://openalex.org/W2605206714","https://openalex.org/W2610688512","https://openalex.org/W2962837662","https://openalex.org/W2963600949","https://openalex.org/W4205191326","https://openalex.org/W4243087266","https://openalex.org/W4244948936","https://openalex.org/W6607236968","https://openalex.org/W6623430341","https://openalex.org/W6637108133","https://openalex.org/W6637131181","https://openalex.org/W6674475651","https://openalex.org/W6675209400","https://openalex.org/W6684850941","https://openalex.org/W6703533480","https://openalex.org/W6717999637","https://openalex.org/W6730996514"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966"],"abstract_inverted_index":{"We":[0,76,94],"introduce":[1],"an":[2,43],"interactive":[3],"system":[4],"for":[5],"extracting":[6,53],"the":[7,27,34,37,58,70,78,99,120,139],"geometries":[8],"of":[9,41,52,60,80,87,106,116,131],"generalized":[10],"cylinders":[11],"and":[12,24,74],"cuboids":[13],"from":[14,98],"single-or":[15],"multiple-view":[16],"point":[17,65],"clouds.":[18],"Our":[19,109],"proposed":[20,48,82],"method":[21,49,83],"is":[22,50],"intuitive":[23],"only":[25],"requires":[26],"object's":[28,72],"silhouettes":[29],"to":[30,119],"be":[31],"traced":[32],"by":[33],"user.":[35],"Leveraging":[36],"user's":[38],"perceptual":[39],"understanding":[40],"what":[42],"object":[44],"looks":[45],"like,":[46],"our":[47,81,135],"capable":[51],"accurate":[54],"models,":[55],"even":[56],"in":[57],"presence":[59],"occlusion,":[61],"clutter":[62],"or":[63],"incomplete":[64],"cloud":[66],"data,":[67],"while":[68],"preserving":[69],"original":[71,121],"details":[73],"scale.":[75],"demonstrate":[77],"merits":[79],"through":[84],"a":[85,90,113,126],"set":[86],"experiments":[88],"on":[89],"public":[91],"RGB-D":[92],"dataset.":[93],"extracted":[95,110,136],"16":[96],"objects":[97],"dataset":[100],"using":[101],"at":[102],"most":[103],"two":[104],"views":[105],"each":[107],"object.":[108],"models":[111,137],"represent":[112],"high":[114],"degree":[115],"visual":[117],"similarity":[118],"objects.":[122],"Further,":[123],"we":[124],"achieved":[125],"mean":[127],"normalized":[128],"Hausdorff":[129],"distance":[130],"5.66%":[132],"when":[133],"comparing":[134],"with":[138],"dataset's":[140],"ground":[141],"truths.":[142]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}