{"id":"https://openalex.org/W105409094","doi":"https://doi.org/10.1007/978-3-642-37447-0_16","title":"A Bayesian Approach to Uncertainty-Based Depth Map Super Resolution","display_name":"A Bayesian Approach to Uncertainty-Based Depth Map Super Resolution","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W105409094","doi":"https://doi.org/10.1007/978-3-642-37447-0_16","mag":"105409094"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-37447-0_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-37447-0_16","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/A5100336870","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-0337-5508"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Li","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103205993","display_name":"Gang Zeng","orcid":"https://orcid.org/0000-0002-9575-4651"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zeng","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040699855","display_name":"Rui Gan","orcid":"https://orcid.org/0000-0002-4471-9098"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Gan","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447536","display_name":"Long Wang","orcid":"https://orcid.org/0000-0001-5600-8157"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Wang","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100336870"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.5242,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9317257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156301736831665},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6243666410446167},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5772566199302673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5727993249893188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46396222710609436},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4436168968677521},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43262723088264465},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4286979138851166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.422111451625824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22704145312309265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22023829817771912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156301736831665},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6243666410446167},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5772566199302673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5727993249893188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46396222710609436},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4436168968677521},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43262723088264465},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4286979138851166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.422111451625824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22704145312309265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22023829817771912},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-37447-0_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-37447-0_16","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1485930954","https://openalex.org/W1491073809","https://openalex.org/W1539230104","https://openalex.org/W1965705366","https://openalex.org/W1981990039","https://openalex.org/W1984844207","https://openalex.org/W2033893696","https://openalex.org/W2046434485","https://openalex.org/W2101131403","https://openalex.org/W2104599718","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2109945199","https://openalex.org/W2116073066","https://openalex.org/W2117132237","https://openalex.org/W2119599674","https://openalex.org/W2125188192","https://openalex.org/W2152327564","https://openalex.org/W2155256157","https://openalex.org/W2156222070","https://openalex.org/W2157849108","https://openalex.org/W2160956336","https://openalex.org/W2167667767","https://openalex.org/W2536043048","https://openalex.org/W4241716071","https://openalex.org/W4244643237","https://openalex.org/W4247836005"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W2158056054","https://openalex.org/W3023086044","https://openalex.org/W2906353151","https://openalex.org/W2294441925","https://openalex.org/W2142226356"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
