{"id":"https://openalex.org/W1930723014","doi":"https://doi.org/10.1109/cvpr.2015.7299190","title":"Discrete optimization of ray potentials for semantic 3D reconstruction","display_name":"Discrete optimization of ray potentials for semantic 3D reconstruction","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1930723014","doi":"https://doi.org/10.1109/cvpr.2015.7299190","mag":"1930723014"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5044159906","display_name":"Nikolay Savinov","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Nikolay Savinov","raw_affiliation_strings":["ETH Z\u00fcrich, Switzerland","Eth Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Eth Z\u00fcrich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107838703","display_name":"\u013dubor Ladick\u00fd","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"L'ubor Ladicky","raw_affiliation_strings":["ETH Z\u00fcrich, Switzerland","Eth Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Eth Z\u00fcrich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070290758","display_name":"Christian H\u00e4ne","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Christian Hane","raw_affiliation_strings":["ETH Z\u00fcrich, Switzerland","Eth Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Eth Z\u00fcrich, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021908609","display_name":"Marc Pollefeys","orcid":"https://orcid.org/0000-0003-2448-2318"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marc Pollefeys","raw_affiliation_strings":["ETH Z\u00fcrich, Switzerland","Eth Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Eth Z\u00fcrich, Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044159906"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":6.1781,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.9756562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5511","last_page":"5518"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9957000017166138,"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/unary-operation","display_name":"Unary operation","score":0.8985351324081421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069867610931396},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6061952114105225},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5733469128608704},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.524724543094635},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4954582452774048},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4925554394721985},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4648894667625427},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4412890076637268},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43845972418785095},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.43412482738494873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4289896488189697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38342708349227905},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33551669120788574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28204286098480225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27658480405807495},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.21480414271354675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1521124243736267},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12850621342658997}],"concepts":[{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.8985351324081421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069867610931396},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6061952114105225},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5733469128608704},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.524724543094635},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4954582452774048},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4925554394721985},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4648894667625427},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4412890076637268},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43845972418785095},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.43412482738494873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4289896488189697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38342708349227905},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33551669120788574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28204286098480225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27658480405807495},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.21480414271354675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1521124243736267},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12850621342658997},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7299190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1528789833","https://openalex.org/W1754904414","https://openalex.org/W1913356549","https://openalex.org/W1974053251","https://openalex.org/W1986528120","https://openalex.org/W2009422376","https://openalex.org/W2044914660","https://openalex.org/W2046629160","https://openalex.org/W2074078071","https://openalex.org/W2106569125","https://openalex.org/W2108414866","https://openalex.org/W2111240761","https://openalex.org/W2115362620","https://openalex.org/W2132055825","https://openalex.org/W2135165032","https://openalex.org/W2138165282","https://openalex.org/W2141690762","https://openalex.org/W2143516773","https://openalex.org/W2150134683","https://openalex.org/W2150375237","https://openalex.org/W2160014001","https://openalex.org/W2163309730","https://openalex.org/W2165306775","https://openalex.org/W2171481071","https://openalex.org/W2229412420","https://openalex.org/W2535516436","https://openalex.org/W2964255216","https://openalex.org/W4299496898","https://openalex.org/W6631412525","https://openalex.org/W6639824712","https://openalex.org/W6674714780","https://openalex.org/W6676441359","https://openalex.org/W6844930438"],"related_works":["https://openalex.org/W2387690017","https://openalex.org/W2029983961","https://openalex.org/W2171149362","https://openalex.org/W2181395181","https://openalex.org/W2183780938","https://openalex.org/W2112556758","https://openalex.org/W2169282664","https://openalex.org/W2021544484","https://openalex.org/W2736693203","https://openalex.org/W1567641598"],"abstract_inverted_index":{"Dense":[0],"semantic":[1,21,34,103],"3D":[2,81],"reconstruction":[3],"is":[4,36,118,138],"typically":[5],"formulated":[6],"as":[7,38,50],"a":[8,17,26,39,44,51,125],"discrete":[9],"or":[10],"continuous":[11],"problem":[12,58,72,137],"over":[13,94],"label":[14],"assignments":[15],"in":[16,25,147,159],"voxel":[18,111],"grid,":[19],"combining":[20],"and":[22,33,105],"depth":[23,32,106],"likelihoods":[24,49],"Markov":[27],"Random":[28],"Field":[29],"framework.":[30],"The":[31,115,135],"information":[35],"incorporated":[37],"unary":[40,52],"potential,":[41],"smoothed":[42],"by":[43,121,140],"pairwise":[45],"regularizer.":[46],"However,":[47],"modelling":[48],"potential":[53,173],"does":[54],"not":[55,169],"model":[56,82],"the":[57,76,80,86,92,97,102,108,113,144,165],"correctly":[59],"leading":[60],"to":[61,68,85,91,156,164],"various":[62],"undesirable":[63],"visibility":[64],"artifacts.":[65,175],"We":[66],"propose":[67],"formulate":[69],"an":[70],"optimization":[71,93],"that":[73],"directly":[74],"optimizes":[75],"reprojection":[77],"error":[78],"of":[79,107],"with":[83],"respect":[84],"image":[87],"estimates,":[88],"which":[89],"corresponds":[90],"rays,":[95],"where":[96],"cost":[98],"function":[99],"depends":[100],"on":[101],"class":[104],"first":[109],"occupied":[110],"along":[112],"ray.":[114],"2-label":[116],"formulation":[117],"made":[119],"feasible":[120,158],"transforming":[122],"it":[123],"into":[124],"graph-representable":[126],"form":[127],"under":[128],"QPBO":[129],"relaxation,":[130],"solvable":[131],"using":[132,143],"graph":[133],"cut.":[134],"multi-label":[136],"solved":[139],"applying":[141],"\u03b1-expansion":[142],"same":[145],"relaxation":[146],"each":[148],"expansion":[149],"move.":[150],"Our":[151],"method":[152],"was":[153],"indeed":[154],"shown":[155],"be":[157],"practice,":[160],"running":[161],"comparably":[162],"fast":[163],"competing":[166],"methods,":[167],"while":[168],"suffering":[170],"from":[171],"ray":[172],"approximation":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}
