{"id":"https://openalex.org/W2625169091","doi":"https://doi.org/10.1109/lra.2017.2715400","title":"Single-View and Multi-View Depth Fusion","display_name":"Single-View and Multi-View Depth Fusion","publication_year":2017,"publication_date":"2017-06-15","ids":{"openalex":"https://openalex.org/W2625169091","doi":"https://doi.org/10.1109/lra.2017.2715400","mag":"2625169091"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2017.2715400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2017.2715400","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1611.07245","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jose M. Facil","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose M. Facil","raw_affiliation_strings":["I3A, University of Zaragoza, 50018 Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"I3A, University of Zaragoza, 50018 Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alejo Concha","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alejo Concha","raw_affiliation_strings":["I3A, University of Zaragoza, 50018 Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"I3A, University of Zaragoza, 50018 Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Luis Montesano","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Montesano","raw_affiliation_strings":["I3A, University of Zaragoza, Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"I3A, University of Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":null,"display_name":"Javier Civera","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Civera","raw_affiliation_strings":["I3A, University of Zaragoza, 50018 Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"I3A, University of Zaragoza, 50018 Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I255234318"],"apc_list":null,"apc_paid":null,"fwci":1.5086,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.8734437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":"4","first_page":"1994","last_page":"2001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9480999708175659,"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":0.9480999708175659,"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":0.0066999997943639755,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.006500000134110451,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/monocular","display_name":"Monocular","score":0.5555999875068665},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5227000117301941},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5205000042915344},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4659000039100647},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.40560001134872437},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.4052000045776367},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.3686999976634979},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3682999908924103}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6898000240325928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6771000027656555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600600004196167},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5555999875068665},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5205000042915344},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.4052000045776367},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3686999976634979},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3386000096797943},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.3100000023841858},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.3084000051021576},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27160000801086426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lra.2017.2715400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2017.2715400","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1611.07245","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1611.07245","pdf_url":"https://arxiv.org/pdf/1611.07245","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1611.07245","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1611.07245","pdf_url":"https://arxiv.org/pdf/1611.07245","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4716452084","display_name":null,"funder_award_id":"JIUZ-2015-TEC-03","funder_id":"https://openalex.org/F4320324111","funder_display_name":"Universidad de Zaragoza"}],"funders":[{"id":"https://openalex.org/F4320324111","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W969383841","https://openalex.org/W1514909517","https://openalex.org/W1575629906","https://openalex.org/W1602724287","https://openalex.org/W1612997784","https://openalex.org/W1639700302","https://openalex.org/W1905829557","https://openalex.org/W1996510988","https://openalex.org/W2021851106","https://openalex.org/W2061637641","https://openalex.org/W2108134361","https://openalex.org/W2125416623","https://openalex.org/W2132947399","https://openalex.org/W2143496191","https://openalex.org/W2146814781","https://openalex.org/W2296476661","https://openalex.org/W2534523274","https://openalex.org/W2618530766","https://openalex.org/W6605121731","https://openalex.org/W6605126162","https://openalex.org/W6618872416","https://openalex.org/W6637373629","https://openalex.org/W6660567044","https://openalex.org/W6685261749","https://openalex.org/W6706139354","https://openalex.org/W6712702053","https://openalex.org/W6720522796","https://openalex.org/W6726644806","https://openalex.org/W6889509328"],"related_works":[],"abstract_inverted_index":{"Dense":[0],"and":[1,16,34,56,80,133,143,157],"accurate":[2,50],"3-D":[3],"mapping":[4,153],"from":[5],"a":[6,10,96],"monocular":[7],"sequence":[8],"is":[9,48,85,161],"key":[11,150],"technology":[12],"for":[13,116,122],"several":[14,88],"applications":[15],"still":[17],"an":[18],"open":[19],"research":[20],"area.":[21],"This":[22],"letter":[23],"leverages":[24],"recent":[25],"results":[26,126],"on":[27,100],"single-view":[28],"convolutional":[29],"network":[30],"(CNN)-based":[31],"depth":[32,39,47,60,74,159],"estimation":[33],"fuses":[35],"them":[36],"with":[37],"multiview":[38,81,108,144,158],"estimation.":[40],"Both":[41],"approaches":[42],"present":[43,120],"complementary":[44],"strengths.":[45],"Multiview":[46],"highly":[49],"but":[51,71],"only":[52],"in":[53,87,127,154],"high-texture":[54],"areas":[55],"high-parallax":[57],"cases.":[58],"Single-view":[59],"captures":[61],"the":[62,72,101,105,128,140,149],"local":[63],"structure":[64],"of":[65,107,110,131,152],"midlevel":[66],"regions,":[67],"including":[68],"texture-less":[69],"areas,":[70],"estimated":[73],"lacks":[75],"global":[76],"coherence.":[77],"The":[78],"single":[79,142,156],"fusion":[82],"we":[83],"propose":[84],"challenging":[86],"aspects.":[89],"First,":[90],"both":[91,123],"depths":[92],"are":[93],"related":[94],"by":[95],"deformation":[97],"that":[98,136],"depends":[99],"image":[102],"content.":[103],"Second,":[104],"selection":[106],"points":[109],"high":[111],"accuracy":[112],"might":[113],"be":[114],"difficult":[115],"low-parallax":[117],"configurations.":[118],"We":[119],"contributions":[121],"problems.":[124],"Our":[125],"public":[129],"datasets":[130],"NYUv2":[132],"TUM":[134],"shows":[135],"our":[137,155],"algorithm":[138],"outperforms":[139],"individual":[141],"approaches.":[145],"A":[146],"video":[147],"showing":[148],"aspects":[151],"proposal":[160],"available":[162],"at":[163],"https://youtu.be/ipc5HukTb4k.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2017-06-23T00:00:00"}