{"id":"https://openalex.org/W1493837268","doi":null,"title":"Automatic Passive Recovery of 3D from Images and Video","display_name":"Automatic Passive Recovery of 3D from Images and Video","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1493837268","mag":"1493837268"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.94.3583","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.3583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vis.uky.edu/~dnister/Publications/2004/3dpvt/nister_pvt04.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5022721299","display_name":"D. Nist\u00e9r","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Nist\u00e9r","raw_affiliation_strings":["Dept. of Comput. Sci. Kentucky Univ., Lexington, KY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci. Kentucky Univ., Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022721299"],"corresponding_institution_ids":["https://openalex.org/I143302722"],"apc_list":null,"apc_paid":null,"fwci":3.9201,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.93638331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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":0.9955999851226807,"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":0.0017000000225380063,"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":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.6930000185966492},{"id":"https://openalex.org/keywords/passive-vision","display_name":"passive vision","score":0.5400000214576721},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"feature tracking","score":0.7360000014305115},{"id":"https://openalex.org/keywords/dense-surface-reconstruction","display_name":"dense surface reconstruction","score":0.7099999785423279},{"id":"https://openalex.org/keywords/depth-maps","display_name":"depth images","score":0.8270000219345093},{"id":"https://openalex.org/keywords/graph-cuts","display_name":"graph cuts","score":0.9869999885559082},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6320000290870667},{"id":"https://openalex.org/keywords/surface-triangulation","display_name":"surface triangulation","score":0.6840000152587891},{"id":"https://openalex.org/keywords/plane-fitting","display_name":"plane fitting","score":0.9359999895095825},{"id":"https://openalex.org/keywords/stereo-matching","display_name":"stereo matching","score":0.7620000243186951},{"id":"https://openalex.org/keywords/multi-view-fusion","display_name":"multi-view fusion","score":0.6159999966621399},{"id":"https://openalex.org/keywords/video-based-3d-reconstruction","display_name":"video-based 3D reconstruction","score":0.5360000133514404}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.666068434715271},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6430763006210327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6083918809890747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5636523962020874},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5302593111991882},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45949581265449524},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4255429804325104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4176504611968994},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.20071092247962952},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18082597851753235},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11989039182662964},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.94.3583","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.3583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vis.uky.edu/~dnister/Publications/2004/3dpvt/nister_pvt04.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W1543549646","https://openalex.org/W1598123022","https://openalex.org/W2009422376","https://openalex.org/W2032724112","https://openalex.org/W2033819227","https://openalex.org/W2060048429","https://openalex.org/W2085078372","https://openalex.org/W2085261163","https://openalex.org/W2101309634","https://openalex.org/W2102481828","https://openalex.org/W2106034964","https://openalex.org/W2106196892","https://openalex.org/W2109635530","https://openalex.org/W2115601136","https://openalex.org/W2115963228","https://openalex.org/W2124313187","https://openalex.org/W2148852318","https://openalex.org/W2169282664","https://openalex.org/W2296147781"],"related_works":["https://openalex.org/W7100594692","https://openalex.org/W2240856351","https://openalex.org/W7095262052","https://openalex.org/W3004794757","https://openalex.org/W2187370301","https://openalex.org/W2438292525","https://openalex.org/W2139150382","https://openalex.org/W1873126617","https://openalex.org/W1504317794","https://openalex.org/W2152196754"],"abstract_inverted_index":{"This":[0],"paper":[1],"gives":[2],"a":[3,60,92,136,153,181,186],"summary":[4],"of":[5,9,78,193,206,214,224,247],"automatic":[6],"passive":[7],"reconstruction":[8,73],"3D":[10],"scenes":[11],"from":[12,106,171,201],"images":[13],"and":[14,37,128],"video.":[15],"Features":[16],"are":[17,25,121,175],"tracked":[18],"between":[19],"the":[20,30,34,38,44,57,79,114,142,157,167,194,202,212,218,222,229,243,248],"images.":[21],"Relative":[22],"camera":[23,45,58],"poses":[24,46],"then":[26,176],"estimated":[27],"based":[28,123],"on":[29],"feature":[31,35,122],"tracks.":[32],"Both":[33],"tracking":[36],"robust":[39,53],"method":[40,63,74],"used":[41,65,100,120],"to":[42,51,66,101,112,139,161,179,240],"estimate":[43],"has":[47],"recently":[48],"been":[49],"shown":[50],"provide":[52],"real-time":[54],"performance.":[55],"Given":[56],"poses,":[59],"more":[61],"elaborate":[62],"is":[64,99,197,233],"derive":[67],"dense":[68,72],"textured":[69],"surfaces.":[70],"The":[71,95,117,133,191],"was":[75],"originally":[76],"part":[77],"authors":[80],"thesis":[81],"[12].":[82],"It":[83,199],"first":[84],"computes":[85],"depth":[86,103],"maps":[87,170],"using":[88,185,211],"graph":[89,96,143,158],"cuts,":[90],"optimizing":[91],"Bayesian":[93],"formulation.":[94],"cut":[97,144],"operation":[98],"let":[102],"map":[104],"hypotheses":[105],"various":[107],"sources":[108],"compete":[109],"in":[110,149],"order":[111],"optimize":[113],"cost":[115,137,163],"function.":[116],"hypothesis":[118],"generators":[119],"surface":[124],"triangulation,":[125],"plane":[126],"fitting":[127],"multi-hypothesis":[129],"multi-scale":[130],"patch-based":[131],"stereo.":[132],"requirements":[134],"for":[135,155],"function":[138,164],"fit":[140],"into":[141],"framework":[145],"were":[146],"already":[147],"given":[148],"[12],":[150],"along":[151],"with":[152],"procedure":[154],"constructing":[156],"weights":[159],"corresponding":[160],"any":[162],"that":[165],"satisfies":[166],"requirements.":[168],"Depth":[169],"many":[172],"different":[173],"viewpoints":[174],"robustly":[177],"fused":[178],"give":[180],"consistent":[182],"global":[183],"result":[184],"process":[187],"called":[188],"median":[189,195],"fusion.":[190],"robustness":[192],"fusion":[196],"important.":[198],"departs":[200],"too":[203],"common":[204],"practice":[205],"fusing":[207],"results":[208],"by":[209],"either":[210,242],"union":[213,223],"free-space":[215],"constraints":[216],"as":[217,228],"resulting":[219,230],"free-space,":[220],"or":[221,245],"all":[225],"predicted":[226],"surfaces":[227],"surfaces,":[231],"which":[232],"tremendously":[234],"error-prone,":[235],"since":[236],"it":[237],"essentially":[238],"corresponds":[239],"taking":[241],"minimum":[244],"maximum":[246],"individual":[249],"results.":[250]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":9}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}