{"id":"https://openalex.org/W2146724569","doi":"https://doi.org/10.1109/cvpr.2003.1211493","title":"Visual hull alignment and refinement across time: a 3D reconstruction algorithm combining shape-from-silhouette with stereo","display_name":"Visual hull alignment and refinement across time: a 3D reconstruction algorithm combining shape-from-silhouette with stereo","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W2146724569","doi":"https://doi.org/10.1109/cvpr.2003.1211493","mag":"2146724569"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5034682180","display_name":"German Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"G.K.M. Cheung","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061943510","display_name":"Simon Baker","orcid":"https://orcid.org/0000-0002-0716-6236"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Baker","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057924291","display_name":"Takeo Kanade","orcid":"https://orcid.org/0000-0002-6267-6853"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Kanade","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034682180"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":12.3823,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.99070752,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.9994000196456909,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9988999962806702,"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":0.9962999820709229,"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/visual-hull","display_name":"Visual hull","score":0.9697014093399048},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.9609562158584595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6520988345146179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5970394611358643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5695421695709229},{"id":"https://openalex.org/keywords/hull","display_name":"Hull","score":0.4592779278755188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42197558283805847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08320030570030212}],"concepts":[{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.9697014093399048},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9609562158584595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6520988345146179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5970394611358643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5695421695709229},{"id":"https://openalex.org/C37423430","wikidata":"https://www.wikidata.org/wiki/Q6750281","display_name":"Hull","level":2,"score":0.4592779278755188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42197558283805847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08320030570030212},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2003.1211493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.12.4919","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.4919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ri.cmu.edu/pub_files/pub4/cheung_kong_man_2003_2/cheung_kong_man_2003_2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W57994194","https://openalex.org/W1491505911","https://openalex.org/W1531542706","https://openalex.org/W1867694590","https://openalex.org/W1906648922","https://openalex.org/W2023551674","https://openalex.org/W2030496844","https://openalex.org/W2062937830","https://openalex.org/W2078000663","https://openalex.org/W2108930959","https://openalex.org/W2117007522","https://openalex.org/W2118791399","https://openalex.org/W2133394967","https://openalex.org/W2134909224","https://openalex.org/W2137610415","https://openalex.org/W2142540472","https://openalex.org/W2147077691","https://openalex.org/W2148964908","https://openalex.org/W2149949049","https://openalex.org/W2166579962","https://openalex.org/W2168545424","https://openalex.org/W2170120409","https://openalex.org/W4214526775","https://openalex.org/W4285719527","https://openalex.org/W6602323943","https://openalex.org/W6629417266","https://openalex.org/W6631689937","https://openalex.org/W6679730243","https://openalex.org/W6680054879"],"related_works":["https://openalex.org/W2093768878","https://openalex.org/W2971834499","https://openalex.org/W1603403967","https://openalex.org/W2124135873","https://openalex.org/W2090825658","https://openalex.org/W2098148538","https://openalex.org/W2146724569","https://openalex.org/W2137936502","https://openalex.org/W2119118681","https://openalex.org/W2141694543"],"abstract_inverted_index":{"Visual":[0],"hull":[1,105,112],"(VH)":[2],"construction":[3],"from":[4],"silhouette":[5,80,210],"images":[6,81,211],"is":[7,21,49,87,205,228],"a":[8,62,116,127,138,183],"popular":[9],"method":[10],"of":[11,43,46,129,141,174,208,225],"shape":[12,53,75,224],"estimation.":[13],"The":[14,85],"method,":[15],"also":[16],"known":[17],"as":[18,27,214],"shape-from-silhouette":[19],"(SFS),":[20],"used":[22,181],"in":[23,182],"many":[24],"applications":[25],"such":[26],"non-invasive":[28],"3D":[29,184],"model":[30],"acquisition,":[31],"obstacle":[32],"avoidance,":[33],"and":[34,40,107,222,237,240],"more":[35],"recently":[36],"human":[37],"motion":[38,94,194,202],"tracking":[39],"analysis.":[41],"One":[42],"the":[44,51,74,92,96,120,130,133,152,172,175,190,200,209,218,223,226],"limitations":[45],"SFS,":[47],"however,":[48],"that":[50,146],"approximated":[52],"can":[54],"be":[55],"very":[56],"coarse":[57],"when":[58],"there":[59],"are":[60,179,212],"only":[61],"few":[63],"cameras.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,159],"propose":[69],"an":[70],"algorithm":[71,124,187,233],"to":[72,114,163,188],"improve":[73],"approximation":[76],"by":[77,89],"combining":[78,109],"multiple":[79],"captured":[82,216],"across":[83,203],"time.":[84],"improvement":[86],"achieved":[88],"first":[90,125],"estimating":[91],"rigid":[93,193,201],"between":[95,195],"visual":[97,142,197],"hulls":[98],"formed":[99],"at":[100,154,155,217],"different":[101],"time":[102,204,220],"instants":[103],"(visual":[104,111],"alignment)":[106],"then":[108,180],"them":[110],"refinement)":[113],"get":[115],"tighter":[117],"bound":[118],"on":[119,171,234],"object's":[121],"shape.":[122],"Our":[123],"constructs":[126],"representation":[128],"VHs":[131],"called":[132,166],"bounding":[134,148],"edge":[135,149],"representation.":[136],"Utilizing":[137],"fundamental":[139],"property":[140],"hulls,":[143],"which":[144],"states":[145],"each":[147],"must":[150],"touch":[151],"object":[153,227],"least":[156],"one":[157],"point,":[158],"use":[160],"multi-view":[161],"stereo":[162],"extract":[164],"points":[165,169],"colored":[167],"surface":[168,173],"(CSP)":[170],"object.":[176],"These":[177],"CSPs":[178],"image":[185],"alignment":[186],"find":[189],"6":[191],"DOF":[192],"two":[196],"hulls.":[198],"Once":[199],"known,":[206],"all":[207],"treated":[213],"being":[215],"same":[219],"instant":[221],"refined.":[229],"We":[230],"validate":[231],"our":[232],"both":[235],"synthetic":[236],"real":[238],"data":[239],"compare":[241],"it":[242],"with":[243],"space":[244],"carving.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}