{"id":"https://openalex.org/W2980815685","doi":"https://doi.org/10.1109/aim.2019.8868629","title":"Depth Estimation based on a Single Close-up Image with Volumetric Annotations in the Wild: A Pilot Study","display_name":"Depth Estimation based on a Single Close-up Image with Volumetric Annotations in the Wild: A Pilot Study","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980815685","doi":"https://doi.org/10.1109/aim.2019.8868629","mag":"2980815685"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2019.8868629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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/A5021505567","display_name":"Frank P.-W. Lo","orcid":"https://orcid.org/0000-0002-0358-6567"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Frank P.-W. Lo","raw_affiliation_strings":["Department of Surgery and Cancer, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Surgery and Cancer, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059787157","display_name":"Yingnan Sun","orcid":"https://orcid.org/0000-0002-8566-8055"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yingnan Sun","raw_affiliation_strings":["Department of Computing, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063187094","display_name":"Benny Lo","orcid":"https://orcid.org/0000-0002-5080-108X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Benny Lo","raw_affiliation_strings":["Department of Surgery and Cancer, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Surgery and Cancer, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021505567"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.4087,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.66241074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"513","last_page":"518"},"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":0.9991999864578247,"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":0.9980999827384949,"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":0.7866511344909668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263336777687073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6856567859649658},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6403288841247559},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6327997446060181},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.610584557056427},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5619504451751709},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5415589809417725},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.492766410112381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34679359197616577}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7866511344909668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263336777687073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6856567859649658},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6403288841247559},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6327997446060181},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.610584557056427},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5619504451751709},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5415589809417725},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.492766410112381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34679359197616577},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aim.2019.8868629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/88435","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/88435","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1623289732","display_name":null,"funder_award_id":"EP/L020688/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5703964369","display_name":null,"funder_award_id":"EP/H009744/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1948599600","https://openalex.org/W2024548552","https://openalex.org/W2085261163","https://openalex.org/W2107722796","https://openalex.org/W2119913339","https://openalex.org/W2132947399","https://openalex.org/W2152945331","https://openalex.org/W2171740948","https://openalex.org/W2563053307","https://openalex.org/W2796343159","https://openalex.org/W2905115637","https://openalex.org/W2951234442","https://openalex.org/W6640735214","https://openalex.org/W6685261749"],"related_works":["https://openalex.org/W2012837507","https://openalex.org/W200819717","https://openalex.org/W2012531322","https://openalex.org/W2032269556","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W3210711677","https://openalex.org/W3111845905","https://openalex.org/W4200218943","https://openalex.org/W3010374521"],"abstract_inverted_index":{"A":[0],"novel":[1],"depth":[2,31,65,94,103],"estimation":[3,32,95,104],"technique":[4],"based":[5,42],"on":[6,30,43],"a":[7,44,58,71],"single":[8],"close-up":[9,68],"image":[10],"is":[11,40],"proposed":[12,89],"in":[13],"this":[14],"paper":[15],"for":[16],"better":[17],"understanding":[18],"of":[19,22,73,102,111],"the":[20,64,88,100,106,112],"geometry":[21],"an":[23],"unknown":[24],"scene.":[25],"Previous":[26],"works":[27],"focus":[28],"mainly":[29],"from":[33,67],"global":[34,109],"view":[35],"information.":[36],"Our":[37],"technique,":[38],"which":[39],"designed":[41],"deep":[45],"neural":[46,60],"network":[47,61],"framework,":[48],"utilizes":[49],"monocular":[50],"color":[51],"images":[52,75],"with":[53,76],"volumetric":[54,77],"annotations":[55],"to":[56,62,86,92,118],"train":[57],"two-stage":[59],"estimate":[63],"information":[66],"images.":[69],"RGBVOL,":[70],"database":[72],"RGB":[74],"annotations,":[78],"has":[79],"also":[80],"been":[81],"constructed":[82],"by":[83],"our":[84,97],"group":[85],"validate":[87],"methodology.":[90],"Compared":[91],"previous":[93],"techniques,":[96],"method":[98],"improves":[99],"accuracy":[101],"under":[105],"condition":[107],"that":[108],"cues":[110],"scene":[113],"are":[114],"not":[115],"available":[116],"due":[117],"viewing":[119],"angle":[120],"and":[121],"distance":[122],"constraints.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
