{"id":"https://openalex.org/W2890829694","doi":"https://doi.org/10.1109/icip.2018.8451769","title":"Indoor Depth Estimation from Single Spherical Images","display_name":"Indoor Depth Estimation from Single Spherical Images","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890829694","doi":"https://doi.org/10.1109/icip.2018.8451769","mag":"2890829694"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034599262","display_name":"Thiago L. T. da Silveira","orcid":"https://orcid.org/0000-0001-6788-2667"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thiago L.T. Da Silveira","raw_affiliation_strings":["Institute of Informatics Federal University of Rio Grande do Sul, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Informatics Federal University of Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000086304","display_name":"Lorenzo P. Dalaqua","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lorenzo P. Dalaqua","raw_affiliation_strings":["Institute of Informatics Federal University of Rio Grande do Sul, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Informatics Federal University of Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012781859","display_name":"Cl\u00e1udio R. Jung","orcid":"https://orcid.org/0000-0002-4711-5783"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudio R. Jung","raw_affiliation_strings":["Institute of Informatics Federal University of Rio Grande do Sul, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Informatics Federal University of Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":0.3803,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.71414854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2935","last_page":"2939"},"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":0.9991000294685364,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983000159263611,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6161024570465088},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5314817428588867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5272682905197144},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5247117280960083},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4859953820705414},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.4628967344760895},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4554171562194824},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4180740416049957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4151190519332886},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3940231204032898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3928806185722351},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1782514452934265},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.08307629823684692}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161024570465088},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5314817428588867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5272682905197144},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5247117280960083},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4859953820705414},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4628967344760895},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4554171562194824},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4180740416049957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4151190519332886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3940231204032898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3928806185722351},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1782514452934265},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.08307629823684692},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W191986088","https://openalex.org/W566730006","https://openalex.org/W1803059841","https://openalex.org/W1905829557","https://openalex.org/W2075139835","https://openalex.org/W2078841894","https://openalex.org/W2104974755","https://openalex.org/W2132999739","https://openalex.org/W2158211626","https://openalex.org/W2160014001","https://openalex.org/W2171740948","https://openalex.org/W2520707372","https://openalex.org/W2539774955","https://openalex.org/W2551146875","https://openalex.org/W2605221279","https://openalex.org/W2759969338","https://openalex.org/W2767903972","https://openalex.org/W2951234442","https://openalex.org/W2963221299","https://openalex.org/W2963609011","https://openalex.org/W4234282793","https://openalex.org/W6607867015","https://openalex.org/W6639633739","https://openalex.org/W6683067110","https://openalex.org/W6685261749","https://openalex.org/W6729630176"],"related_works":["https://openalex.org/W4256429076","https://openalex.org/W1971174658","https://openalex.org/W2099195351","https://openalex.org/W2012063272","https://openalex.org/W2348092930","https://openalex.org/W2138685729","https://openalex.org/W2062850566","https://openalex.org/W4308716484","https://openalex.org/W2098284475","https://openalex.org/W26693340"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,11,46],"framework":[6],"for":[7,71],"inferring":[8,32],"depth":[9,25,33],"from":[10,34,39],"single":[12],"spherical":[13,41],"image,":[14,42],"which":[15],"can":[16],"be":[17],"coupled":[18],"to":[19,50,55,86,91,98],"any":[20],"generic":[21],"planar":[22,36],"image":[23],"monocular":[24],"estimation":[26],"algorithm.":[27],"It":[28],"consists":[29],"of":[30,73,94],"first":[31],"overlapping":[35],"patches":[37,53],"extracted":[38],"the":[40,52,56,75,83,87,95,99],"and":[43,70,90],"then":[44],"using":[45],"regularized":[47],"minimization":[48],"scheme":[49],"stitch":[51],"back":[54],"sphere.":[57],"We":[58],"test":[59],"three":[60],"state-of-the-art":[61],"convolutional":[62],"neural":[63],"network":[64],"(CNN)-based":[65],"methodologies":[66],"as":[67],"baseline":[68],"methods,":[69],"all":[72],"them":[74],"proposed":[76],"approach":[77],"presented":[78],"better":[79],"results":[80],"than":[81],"applying":[82],"CNN":[84],"directly":[85],"equirectangular":[88],"projection":[89],"disjoint":[92],"sections":[93],"sphere":[96],"according":[97],"scale-invariant":[100],"mean":[101],"squared":[102],"error":[103],"(SIMSE)":[104],"metric.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
