{"id":"https://openalex.org/W2971379679","doi":"https://doi.org/10.1109/icassp40776.2020.9053724","title":"Robust Full-Fov Depth Estimation in Tele-Wide Camera System","display_name":"Robust Full-Fov Depth Estimation in Tele-Wide Camera System","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2971379679","doi":"https://doi.org/10.1109/icassp40776.2020.9053724","mag":"2971379679"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.03375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079843373","display_name":"Kai Guo","orcid":"https://orcid.org/0000-0003-1600-931X"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kai Guo","raw_affiliation_strings":["Samsung Electronics, Hwaseong-si, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Hwaseong-si, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055528937","display_name":"Seongwook Song","orcid":"https://orcid.org/0000-0003-0517-3958"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongwook Song","raw_affiliation_strings":["Samsung Electronics, Hwaseong-si, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Hwaseong-si, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109348394","display_name":"SoonKeun Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soonkeun Chang","raw_affiliation_strings":["Samsung Electronics, Hwaseong-si, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Hwaseong-si, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058141405","display_name":"Tae-ui Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-ui Kim","raw_affiliation_strings":["Samsung Electronics, Hwaseong-si, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Hwaseong-si, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032143219","display_name":"Seungmin Han","orcid":"https://orcid.org/0000-0002-6156-8447"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungmin Han","raw_affiliation_strings":["Samsung Electronics, Hwaseong-si, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Hwaseong-si, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100851833","display_name":"Irina Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Irina Kim","raw_affiliation_strings":["Samsung Electronics, Hwaseong-si, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Hwaseong-si, Korea","institution_ids":["https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079843373"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3582422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"1993","last_page":"1997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.8083369731903076},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7715960144996643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7651984691619873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7420197129249573},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6034827828407288},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5197322368621826},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.49869322776794434},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4280741512775421},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27976566553115845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083369731903076},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7715960144996643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7651984691619873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7420197129249573},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6034827828407288},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5197322368621826},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.49869322776794434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4280741512775421},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27976566553115845},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.03375","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.03375","pdf_url":"https://arxiv.org/pdf/1909.03375","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:1909.03375","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.03375","pdf_url":"https://arxiv.org/pdf/1909.03375","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1932198206","https://openalex.org/W2015207482","https://openalex.org/W2104974755","https://openalex.org/W2115579991","https://openalex.org/W2117248802","https://openalex.org/W2119004707","https://openalex.org/W2142714012","https://openalex.org/W2171740948","https://openalex.org/W2254462240","https://openalex.org/W2336968928","https://openalex.org/W2436453945","https://openalex.org/W2474236724","https://openalex.org/W2509732761","https://openalex.org/W2520707372","https://openalex.org/W2887603965","https://openalex.org/W2949250465","https://openalex.org/W2951234442","https://openalex.org/W2963045776","https://openalex.org/W2963359474","https://openalex.org/W2963488291","https://openalex.org/W2963591054","https://openalex.org/W2963760790","https://openalex.org/W2963825193","https://openalex.org/W4234282793","https://openalex.org/W6685261749","https://openalex.org/W6703405610","https://openalex.org/W6725281773","https://openalex.org/W6754553897"],"related_works":["https://openalex.org/W2756963361","https://openalex.org/W2771003565","https://openalex.org/W4229030109","https://openalex.org/W2050501141","https://openalex.org/W2143789285","https://openalex.org/W2008308540","https://openalex.org/W2971759143","https://openalex.org/W2080890436","https://openalex.org/W2546839119","https://openalex.org/W2109378143"],"abstract_inverted_index":{"Tele-wide":[0],"camera":[1,77],"system":[2],"with":[3,87,132,155,161],"different":[4],"Field":[5],"of":[6,83,90,141,152],"View":[7],"(FoV)":[8],"lenses":[9],"becomes":[10],"very":[11],"popular":[12],"in":[13,75],"recent":[14],"mobile":[15],"devices.":[16],"Usually":[17],"it":[18],"is":[19,149],"difficult":[20],"to":[21,59,121,136],"obtain":[22,40],"full-FoV":[23,41,72],"depth":[24,36,73,103,108,113,120,125,131,135,163,177],"based":[25,35],"on":[26,179,189],"traditional":[27,84,117],"stereo-matching":[28,85,118],"methods.":[29],"Pure":[30],"Deep":[31],"Neural":[32],"Network":[33],"(DNN)":[34],"estimation":[37,74,164],"methods":[38,86,165],"can":[39],"depth,":[42],"but":[43,183],"have":[44],"low":[45],"robustness":[46,82],"for":[47,70],"scenarios":[48],"which":[49,79,148],"are":[50],"not":[51,170],"covered":[52],"by":[53],"training":[54],"dataset.":[55],"In":[56],"this":[57],"paper,":[58],"address":[60],"the":[61,81,88,94,129,133],"above":[62],"problems":[63],"we":[64],"propose":[65],"a":[66,150],"hierarchical":[67],"hourglass":[68,146],"network":[69,96],"robust":[71,173],"tele-wide":[76],"system,":[78],"combines":[80],"accuracy":[89],"DNN.":[91],"More":[92],"specifically,":[93],"proposed":[95],"comprises":[97],"three":[98],"major":[99],"modules:":[100],"single":[101],"image":[102],"prediction":[104],"module":[105,115,127],"infers":[106],"initial":[107,130],"from":[109],"input":[110],"color":[111],"image,":[112],"propagation":[114],"propagates":[116],"tele-FoV":[119],"surrounding":[122],"regions,":[123],"and":[124,174],"combination":[126],"fuses":[128],"propagated":[134],"generate":[137],"final":[138],"output.":[139],"Each":[140],"these":[142],"modules":[143],"employs":[144],"an":[145],"model,":[147],"kind":[151],"encoder-decoder":[153],"structure":[154],"skip":[156],"connections.":[157],"Experimental":[158],"results":[159,188],"compared":[160],"state-of-the-art":[162],"demonstrate":[166],"that":[167],"our":[168],"method":[169],"only":[171],"produces":[172],"better":[175,186],"subjective":[176],"quality":[178],"wild":[180],"test":[181],"images,":[182],"also":[184],"obtains":[185],"quantitative":[187],"standard":[190],"datasets.":[191]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}