{"id":"https://openalex.org/W2944113692","doi":"https://doi.org/10.23919/elinfocom.2019.8706357","title":"Depth Map Estimation Model with Efficient Feature Extraction Module","display_name":"Depth Map Estimation Model with Efficient Feature Extraction Module","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2944113692","doi":"https://doi.org/10.23919/elinfocom.2019.8706357","mag":"2944113692"},"language":"en","primary_location":{"id":"doi:10.23919/elinfocom.2019.8706357","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706357","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5064169293","display_name":"Soo-Yeon Shin","orcid":"https://orcid.org/0000-0003-3786-1413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soo-Yeon Shin","raw_affiliation_strings":["Chung-Buk National University, Chungju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Buk National University, Chungju, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051365211","display_name":"Dong\u2010Myung Kim","orcid":"https://orcid.org/0000-0001-7875-0694"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong-Myung Kim","raw_affiliation_strings":["Chung-Buk National University, Chungju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Buk National University, Chungju, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012955764","display_name":"Byung-Do Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Byung-Do Yang","raw_affiliation_strings":["Chung-Buk National University, Chungju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Buk National University, Chungju, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002062627","display_name":"Chansik Park","orcid":"https://orcid.org/0000-0003-2256-300X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan-Sik Park","raw_affiliation_strings":["Chung-Buk National University, Chungju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Buk National University, Chungju, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047150584","display_name":"Jae\u2010Won Suh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jae-Won Suh","raw_affiliation_strings":["Chung-Buk National University, Chungju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Buk National University, Chungju, Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02890173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.998199999332428,"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/T10638","display_name":"Optical measurement and interference 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":0.7918660044670105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7535908222198486},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.740782618522644},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.6517671346664429},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5855374932289124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5467003583908081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5424424409866333},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4984002113342285},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4638516902923584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4460431933403015}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7918660044670105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7535908222198486},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.740782618522644},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.6517671346664429},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5855374932289124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5467003583908081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5424424409866333},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4984002113342285},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4638516902923584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4460431933403015},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/elinfocom.2019.8706357","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706357","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","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":8,"referenced_works":["https://openalex.org/W1772650917","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2604231069","https://openalex.org/W2963502507","https://openalex.org/W2963619659","https://openalex.org/W6638039622","https://openalex.org/W6715287400"],"related_works":["https://openalex.org/W2310668644","https://openalex.org/W2010112831","https://openalex.org/W2329110763","https://openalex.org/W42146583","https://openalex.org/W3034145901","https://openalex.org/W2167098510","https://openalex.org/W4241745573","https://openalex.org/W2083711700","https://openalex.org/W2029836522","https://openalex.org/W1969138566"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,12,18,25,39,49],"depth":[4,40,70],"image":[5,37],"generation":[6],"algorithm":[7,22,58],"of":[8,17,24,34,53,71],"stereo":[9],"images":[10],"using":[11,48],"deep":[13],"learning":[14,41],"model":[15],"composed":[16],"CNN.":[19],"The":[20,56],"proposed":[21,57],"consists":[23],"feature":[26,65],"extraction":[27,62,66],"unit":[28,42],"which":[29,43],"extracts":[30],"the":[31,45,69],"main":[32],"features":[33],"each":[35],"parallax":[36,46],"and":[38,67],"learns":[44],"information":[47],"3d":[50],"cost":[51],"volume":[52],"extracted":[54],"features.":[55],"uses":[59],"local":[60],"region":[61,73],"modules":[63],"for":[64],"estimates":[68],"object":[72],"more":[74],"accurately":[75],"than":[76],"existing":[77],"CNN":[78],"algorithms.":[79]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
