{"id":"https://openalex.org/W2096740341","doi":"https://doi.org/10.2312/vast/vast07/001-008","title":"Shape Capture Assisted by Traditional Tools","display_name":"Shape Capture Assisted by Traditional Tools","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2096740341","doi":"https://doi.org/10.2312/vast/vast07/001-008","mag":"2096740341"},"language":"en","primary_location":{"id":"mag:2096740341","is_oa":false,"landing_page_url":"http://graphics.cs.yale.edu/bing/pub/simptools.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418841","display_name":"IEEE Virtual Reality Conference","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IEEE Virtual Reality Conference","raw_type":null},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vast/vast07/001-008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064638062","display_name":"Holly Rushmeier","orcid":"https://orcid.org/0000-0001-5241-0886"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rushmeier, Holly","raw_affiliation_strings":["Yale University  ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101630292","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-8437-9270"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu, Chen","raw_affiliation_strings":["Yale University  ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382568","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0003-4945-7725"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang, Bing","raw_affiliation_strings":["Yale University  ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009142342","display_name":"Russell A. Rushmeier","orcid":null},"institutions":[{"id":"https://openalex.org/I186274478","display_name":"United States Coast Guard Academy","ror":"https://ror.org/01y922f71","country_code":"US","type":"education","lineage":["https://openalex.org/I186274478"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rushmeier, Russell","raw_affiliation_strings":["US Coast Guard Academy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Coast Guard Academy","institution_ids":["https://openalex.org/I186274478"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044238775","display_name":"Julie Dorsey","orcid":"https://orcid.org/0000-0003-2495-4979"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dorsey, Julie","raw_affiliation_strings":["Yale University  ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"282","issue":"2","first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/calipers","display_name":"Calipers","score":0.9613189697265625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804468035697937},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.6766098737716675},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6258077621459961},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.575498104095459},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.563831090927124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5170710682868958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5146892666816711},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.487102746963501},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.48545390367507935},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.45667147636413574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21406713128089905},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18742400407791138}],"concepts":[{"id":"https://openalex.org/C186738849","wikidata":"https://www.wikidata.org/wiki/Q12408","display_name":"Calipers","level":2,"score":0.9613189697265625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804468035697937},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.6766098737716675},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6258077621459961},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.575498104095459},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.563831090927124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5170710682868958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5146892666816711},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.487102746963501},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.48545390367507935},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.45667147636413574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21406713128089905},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18742400407791138},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:2096740341","is_oa":false,"landing_page_url":"http://graphics.cs.yale.edu/bing/pub/simptools.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418841","display_name":"IEEE Virtual Reality Conference","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Virtual Reality Conference","raw_type":null},{"id":"doi:10.2312/vast/vast07/001-008","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vast/vast07/001-008","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,"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":null}],"best_oa_location":{"id":"doi:10.2312/vast/vast07/001-008","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vast/vast07/001-008","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,"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},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W186489109","https://openalex.org/W565489680","https://openalex.org/W1525803656","https://openalex.org/W1718168955","https://openalex.org/W1981940178","https://openalex.org/W2049981393","https://openalex.org/W2080629029","https://openalex.org/W2094872233","https://openalex.org/W2095946149","https://openalex.org/W2105594297","https://openalex.org/W2107883532","https://openalex.org/W2129098897","https://openalex.org/W3020867216"],"related_works":["https://openalex.org/W2143039717","https://openalex.org/W1928263411","https://openalex.org/W2398456342","https://openalex.org/W2203450678","https://openalex.org/W2468849742","https://openalex.org/W2291534001","https://openalex.org/W2746400556","https://openalex.org/W1540016502","https://openalex.org/W1564135880","https://openalex.org/W2466884089","https://openalex.org/W2146985695","https://openalex.org/W2039236219","https://openalex.org/W2097933524","https://openalex.org/W2160596063","https://openalex.org/W1855183634","https://openalex.org/W1964165394","https://openalex.org/W1971702804","https://openalex.org/W2068184492","https://openalex.org/W2154991071","https://openalex.org/W2032892927"],"abstract_inverted_index":{"We":[0,30,55],"present":[1],"new":[2],"techniques":[3],"for":[4,69],"capturing":[5],"the":[6,36,52,58],"shape":[7],"of":[8,17],"physical":[9],"objects":[10],"using":[11,38,51],"simple":[12],"tools.":[13],"From":[14],"a":[15,26,43],"set":[16],"caliper":[18,53],"distance":[19],"measurements":[20],"between":[21],"object":[22],"points,":[23],"we":[24,33,60],"reconstruct":[25],"three":[27,49],"dimensional":[28],"structure.":[29],"show":[31],"that":[32,45,57],"can":[34,62],"refine":[35],"model":[37,59,70],"planar":[39],"contours":[40],"obtained":[41],"with":[42],"gage":[44],"are":[46],"placed":[47],"in":[48],"dimensions":[50],"measurements.":[54],"demonstrate":[56],"construct":[61],"be":[63],"used":[64],"to":[65],"assist":[66],"optical":[67],"approaches":[68],"capture.":[71]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}