{"id":"https://openalex.org/W1977824338","doi":"https://doi.org/10.1145/1236246.1236270","title":"C-DIST","display_name":"C-DIST","publication_year":2007,"publication_date":"2007-06-04","ids":{"openalex":"https://openalex.org/W1977824338","doi":"https://doi.org/10.1145/1236246.1236270","mag":"1977824338"},"language":"en","primary_location":{"id":"doi:10.1145/1236246.1236270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236246.1236270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM symposium on Solid and physical modeling","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101843626","display_name":"Liangjun Zhang","orcid":"https://orcid.org/0000-0001-5737-2540"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liangjun Zhang","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387388","display_name":"Young J. Kim","orcid":"https://orcid.org/0000-0003-2159-4832"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young J. Kim","raw_affiliation_strings":["Ewha Womans University, Korea"],"affiliations":[{"raw_affiliation_string":"Ewha Womans University, Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004194238","display_name":"Dinesh Manocha","orcid":"https://orcid.org/0000-0001-7047-9801"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Manocha","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101843626"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":1.6228,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84054586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9976000189781189,"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/convex-hull","display_name":"Convex hull","score":0.6507015824317932},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.59601229429245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5122577548027039},{"id":"https://openalex.org/keywords/visual-hull","display_name":"Visual hull","score":0.4859715700149536},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4839039742946625},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.47334861755371094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45384708046913147},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.44020816683769226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3911551833152771},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3900444507598877},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3740173876285553},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2762952446937561},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24563667178153992},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.24346429109573364},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23515111207962036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22676357626914978},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.15688994526863098}],"concepts":[{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.6507015824317932},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.59601229429245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5122577548027039},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.4859715700149536},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4839039742946625},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.47334861755371094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45384708046913147},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.44020816683769226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3911551833152771},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3900444507598877},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3740173876285553},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2762952446937561},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24563667178153992},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24346429109573364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23515111207962036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22676357626914978},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.15688994526863098},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1236246.1236270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236246.1236270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM symposium on Solid and physical modeling","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"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":56,"referenced_works":["https://openalex.org/W5006391","https://openalex.org/W41908379","https://openalex.org/W101508493","https://openalex.org/W151476825","https://openalex.org/W281357932","https://openalex.org/W569738279","https://openalex.org/W1521785144","https://openalex.org/W1554174647","https://openalex.org/W1564897360","https://openalex.org/W1587069887","https://openalex.org/W1607747992","https://openalex.org/W1612537247","https://openalex.org/W1866797514","https://openalex.org/W1974451141","https://openalex.org/W1976263404","https://openalex.org/W1983067644","https://openalex.org/W1986578548","https://openalex.org/W1999134477","https://openalex.org/W2021201167","https://openalex.org/W2031422414","https://openalex.org/W2032507921","https://openalex.org/W2036997708","https://openalex.org/W2037610551","https://openalex.org/W2039050554","https://openalex.org/W2048614110","https://openalex.org/W2072647168","https://openalex.org/W2075044090","https://openalex.org/W2096143679","https://openalex.org/W2101902009","https://openalex.org/W2106369068","https://openalex.org/W2113362463","https://openalex.org/W2115257338","https://openalex.org/W2117495699","https://openalex.org/W2125041002","https://openalex.org/W2128990851","https://openalex.org/W2131341093","https://openalex.org/W2141664020","https://openalex.org/W2147774191","https://openalex.org/W2149906774","https://openalex.org/W2154574107","https://openalex.org/W2154782499","https://openalex.org/W2166316739","https://openalex.org/W2171266831","https://openalex.org/W2188351697","https://openalex.org/W2611243847","https://openalex.org/W2765257297","https://openalex.org/W3152344982","https://openalex.org/W3217246742","https://openalex.org/W4213187341","https://openalex.org/W4214494916","https://openalex.org/W4230417176","https://openalex.org/W4243302541","https://openalex.org/W4247382745","https://openalex.org/W6604114042","https://openalex.org/W6628159888","https://openalex.org/W6632963374"],"related_works":["https://openalex.org/W2031517871","https://openalex.org/W2153420822","https://openalex.org/W2010014187","https://openalex.org/W4283021651","https://openalex.org/W2977661486","https://openalex.org/W2061270575","https://openalex.org/W1599489508","https://openalex.org/W2363868754","https://openalex.org/W2124391739","https://openalex.org/W2045495512"],"abstract_inverted_index":{"The":[0,58],"problem":[1,42],"of":[2,43,47,52,67,76,106,110,138,186],"distance":[3,31,48,60,98,167],"computation":[4,32],"arises":[5],"in":[6,21,89],"many":[7,190],"applications":[8],"including":[9],"motion":[10,201],"planning,":[11],"CAD/CAM,":[12],"dynamic":[13],"simulation":[14],"and":[15,92,122,142,172,193,200],"virtual":[16],"environments.":[17],"Most":[18],"prior":[19],"work":[20],"this":[22,37,116],"area":[23],"has":[24],"been":[25],"restricted":[26],"to":[27,118,127,161,178,197],"separation":[28],"or":[29,55],"penetration":[30],"between":[33,49,79],"two":[34,50,80,124],"objects.":[35],"In":[36],"paper,":[38],"we":[39,93,173],"address":[40],"the":[41,65,68,73,77,96,107,120,130,135,139,146,166,180,184],"computing":[44],"a":[45,53,104,111,150],"measure":[46],"configurations":[51],"rigid":[54,112],"articulated":[56,162],"model.":[57],"underlying":[59],"metric":[61],"is":[62,84],"defined":[63],"as":[64],"length":[66],"longest":[69],"displacement":[70],"vector":[71],"over":[72,168],"corresponding":[74],"vertices":[75,144],"model":[78],"configurations.":[81],"Our":[82,155],"algorithm":[83,156,188],"based":[85],"on":[86,134,145,189],"Chasles":[87],"theorem":[88],"Screw":[90],"theory,":[91],"show":[94],"that":[95],"maximum":[97],"can":[99,157],"be":[100,158],"realized":[101],"only":[102],"by":[103,164],"vertex":[105],"convex":[108,140,147],"hull":[109,141,148],"object.":[113],"We":[114,182],"use":[115],"formulation":[117],"compute":[119],"distance,":[121],"present":[123,175],"acceleration":[125],"techniques":[126,177],"speed":[128],"up":[129],"computation:":[131],"incremental":[132],"walking":[133],"dual":[136],"space":[137],"culling":[143,176],"using":[149],"bounding":[151],"volume":[152],"hierarchy":[153],"(BVH).":[154],"easily":[159],"extended":[160],"models":[163,192],"maximizing":[165],"its":[169,195],"each":[170],"link":[171],"also":[174],"accelerate":[179],"computation.":[181],"highlight":[183],"performance":[185],"our":[187],"complex":[191],"describe":[194],"application":[196],"proximity":[198],"queries":[199],"planning.":[202]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}