{"id":"https://openalex.org/W2060957625","doi":"https://doi.org/10.1145/1924559.1924592","title":"A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter","display_name":"A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter","publication_year":2010,"publication_date":"2010-12-12","ids":{"openalex":"https://openalex.org/W2060957625","doi":"https://doi.org/10.1145/1924559.1924592","mag":"2060957625"},"language":"en","primary_location":{"id":"doi:10.1145/1924559.1924592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","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/A5072888126","display_name":"Qingxu Dou","orcid":"https://orcid.org/0000-0003-4989-1273"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Qingxu Dou","raw_affiliation_strings":["Heriot-Watt University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070940574","display_name":"Paolo Favaro","orcid":"https://orcid.org/0000-0003-3546-8247"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paolo Favaro","raw_affiliation_strings":["Heriot-Watt University, Edingurgh, UK","Heriot-Watt University, Edingurgh, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, Edingurgh, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Heriot-Watt University, Edingurgh, UK#TAB#","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072888126"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14101908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"243","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9940000176429749,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.9166114330291748},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.783578634262085},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7717833518981934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6781656742095947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5585174560546875},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.5368185043334961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5021605491638184},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4367109537124634},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.42676037549972534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4154214859008789},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.34046316146850586},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3400889039039612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22512218356132507},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1303251087665558}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9166114330291748},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.783578634262085},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7717833518981934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781656742095947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5585174560546875},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.5368185043334961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5021605491638184},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4367109537124634},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.42676037549972534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4154214859008789},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.34046316146850586},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3400889039039612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22512218356132507},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1303251087665558},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1924559.1924592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:boris.unibe.ch:105008","is_oa":false,"landing_page_url":"https://boris.unibe.ch/105008/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401086","display_name":"Bern Open Repository and Information System (University of Bern)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118564535","host_organization_name":"University of Bern","host_organization_lineage":["https://openalex.org/I118564535"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dou, Qingxu; Favaro, Paolo (2010). A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter. In: the Seventh Indian Conference (pp. 243-250). New York, New York, USA: ACM Press 10.1145/1924559.1924592 <http://dx.doi.org/10.1145/1924559.1924592>","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G1093508979","display_name":null,"funder_award_id":"EP/F023073/1(P)","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5002693391","display_name":null,"funder_award_id":"N00014-09-1-1067","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1599150184","https://openalex.org/W1786660833","https://openalex.org/W1943727062","https://openalex.org/W2006227471","https://openalex.org/W2038495454","https://openalex.org/W2101193141","https://openalex.org/W2111240761","https://openalex.org/W2112058288","https://openalex.org/W2117331827","https://openalex.org/W2119213281","https://openalex.org/W2124958603","https://openalex.org/W2129404737","https://openalex.org/W2132055825","https://openalex.org/W2133636932","https://openalex.org/W2135488942","https://openalex.org/W2146599206","https://openalex.org/W2150375237","https://openalex.org/W2160014001","https://openalex.org/W2167335287","https://openalex.org/W2168545424","https://openalex.org/W2171056981","https://openalex.org/W6681436197","https://openalex.org/W6940816443"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W2130674020","https://openalex.org/W183202219","https://openalex.org/W2093748878","https://openalex.org/W3095877357","https://openalex.org/W2072565696"],"abstract_inverted_index":{"We":[0,35,101],"present":[1],"a":[2,14,21,37,76,137],"novel":[3],"framework":[4],"for":[5,104],"multi-view":[6],"stereo":[7],"that":[8,48,81,107,132,142],"poses":[9],"the":[10,18,27,31,61,82,99,119],"problem":[11,25],"of":[12,26,33,69,111],"recovering":[13],"3D":[15],"surface":[16,71],"in":[17,30],"scene":[19],"as":[20],"regularized":[22],"minimal":[23],"partition":[24],"visibility":[28],"function":[29],"presence":[32],"clutter.":[34,54],"introduce":[36],"simple":[38],"and":[39,52,89,126],"robust":[40],"method":[41,134],"to":[42,97],"integrate":[43],"estimates":[44],"from":[45],"several":[46],"views":[47],"tolerates":[49],"both":[50],"static":[51],"time-varying":[53],"Our":[55],"formulation":[56],"does":[57,84],"not":[58,85],"rely":[59],"on":[60,87,124,136,146],"visual":[62],"hull,":[63],"2D":[64],"silhouettes,":[65],"or":[66],"make":[67],"use":[68,75],"initial":[70],"estimates.":[72],"Furthermore,":[73],"we":[74],"globally":[77],"optimal":[78],"framework,":[79],"so":[80,106],"solution":[83],"depend":[86],"initialization":[88],"computationally":[90],"efficient":[91],"numerical":[92],"methods":[93,141],"can":[94,114],"be":[95,115],"used":[96,116,145],"find":[98],"solution.":[100],"also":[102],"strive":[103],"simplicity":[105],"more":[108],"general":[109],"models":[110],"image":[112],"formation":[113],"without":[117],"compromising":[118],"estimation":[120],"process.":[121],"Experimental":[122],"results":[123],"synthetic":[125],"publicly":[127],"available":[128],"real":[129],"data":[130],"show":[131],"our":[133],"performs":[135],"par":[138],"with":[139],"state-of-the-art":[140],"have":[143],"been":[144],"clutter-free":[147],"data.":[148]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}