{"id":"https://openalex.org/W4388621593","doi":"https://doi.org/10.1007/978-3-031-45382-3_14","title":"A Single Image Neuro-Geometric Depth Estimation","display_name":"A Single Image Neuro-Geometric Depth Estimation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388621593","doi":"https://doi.org/10.1007/978-3-031-45382-3_14"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-45382-3_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-45382-3_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5032958131","display_name":"George Dimas","orcid":"https://orcid.org/0000-0002-5770-8988"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"George Dimas","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, School of Science, University of Thesssaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, School of Science, University of Thesssaly, Volos, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065014749","display_name":"Panagiota Gatoula","orcid":"https://orcid.org/0009-0005-0577-8190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panagiota Gatoula","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, School of Science, University of Thesssaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, School of Science, University of Thesssaly, Volos, Greece","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020655974","display_name":"Dimitris K. Iakovidis","orcid":"https://orcid.org/0000-0002-5027-5323"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimitris K. Iakovidis","raw_affiliation_strings":["Department of Computer Science and Biomedical Informatics, School of Science, University of Thesssaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Informatics, School of Science, University of Thesssaly, Volos, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032958131"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43285072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"160","last_page":"171"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9994000196456909,"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":0.9993000030517578,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8126292824745178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7915136814117432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6617377996444702},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6070568561553955},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5841379761695862},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5630006790161133},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5268325209617615},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5205222368240356},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4894939661026001},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.473819375038147},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.46675872802734375},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4585201144218445},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43413421511650085},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43389245867729187},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.41649162769317627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4122105538845062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3703234791755676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14078345894813538}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8126292824745178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915136814117432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6617377996444702},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6070568561553955},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5841379761695862},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5630006790161133},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5268325209617615},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5205222368240356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4894939661026001},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.473819375038147},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.46675872802734375},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4585201144218445},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43413421511650085},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43389245867729187},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.41649162769317627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4122105538845062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3703234791755676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14078345894813538},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":1,"locations":[{"id":"doi:10.1007/978-3-031-45382-3_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-45382-3_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2026203852","https://openalex.org/W2112731915","https://openalex.org/W2150066425","https://openalex.org/W2491801996","https://openalex.org/W2520707372","https://openalex.org/W2526727305","https://openalex.org/W2889002172","https://openalex.org/W2897802609","https://openalex.org/W2903233845","https://openalex.org/W2950338566","https://openalex.org/W2963446712","https://openalex.org/W2963488291","https://openalex.org/W2985775862","https://openalex.org/W3009604100","https://openalex.org/W3010846434","https://openalex.org/W3035293047","https://openalex.org/W3118635606","https://openalex.org/W3203789698","https://openalex.org/W3205341514","https://openalex.org/W4226375336","https://openalex.org/W4312311707","https://openalex.org/W4319336332"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4285411112","https://openalex.org/W3166204570","https://openalex.org/W3121246613","https://openalex.org/W4320086129","https://openalex.org/W4287206000","https://openalex.org/W3153778084"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}