{"id":"https://openalex.org/W2293417688","doi":"https://doi.org/10.1109/icip.2015.7351032","title":"Large-area depth recovery for RGB-D camera","display_name":"Large-area depth recovery for RGB-D camera","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293417688","doi":"https://doi.org/10.1109/icip.2015.7351032","mag":"2293417688"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5079057344","display_name":"Zengqiang Yan","orcid":"https://orcid.org/0000-0002-2039-3863"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqiang Yan","raw_affiliation_strings":["School of Electron. Inf. & Commun, Huazhong Univ. of Sci. & Tech., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electron. Inf. & Commun, Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739349","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-5060-2558"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["School of Electron. Inf. & Commun, Huazhong Univ. of Sci. & Tech., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electron. Inf. & Commun, Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058154161","display_name":"Zixiang Xiong","orcid":"https://orcid.org/0000-0002-4714-3311"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zixiang Xiong","raw_affiliation_strings":["Department of ECE, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47594087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1409","last_page":"1413"},"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":0.9994000196456909,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8185557126998901},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7475357055664062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6842071413993835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6376052498817444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623346209526062},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5177425742149353},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4642093777656555},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.44840291142463684},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4211270213127136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4206739664077759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24442535638809204},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06535738706588745}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8185557126998901},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7475357055664062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6842071413993835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6376052498817444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623346209526062},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5177425742149353},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4642093777656555},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.44840291142463684},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4211270213127136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4206739664077759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24442535638809204},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06535738706588745},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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":16,"referenced_works":["https://openalex.org/W15713842","https://openalex.org/W1781418976","https://openalex.org/W2010240257","https://openalex.org/W2034159226","https://openalex.org/W2082253268","https://openalex.org/W2104599718","https://openalex.org/W2104600947","https://openalex.org/W2104823021","https://openalex.org/W2111727749","https://openalex.org/W2114329883","https://openalex.org/W2137345743","https://openalex.org/W2137717254","https://openalex.org/W2139635760","https://openalex.org/W2139905387","https://openalex.org/W2167667767","https://openalex.org/W4241716071"],"related_works":["https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4380150146","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2950538088","https://openalex.org/W1977098485","https://openalex.org/W2085630472","https://openalex.org/W4285201053"],"abstract_inverted_index":{"In":[0],"this":[1,86],"paper,":[2],"a":[3,56],"large-area":[4,34],"depth":[5,24,35,74,98],"recovery":[6,90],"method":[7,60,91],"for":[8],"RGB-D":[9],"camera":[10],"is":[11,87],"proposed.":[12],"Considering":[13],"that":[14],"pixels":[15,30],"along":[16,31],"edges":[17,32],"between":[18],"different":[19],"regions":[20,37],"usually":[21],"share":[22],"similar":[23],"values,":[25],"we":[26,54],"first":[27,89],"select":[28],"reliable":[29],"of":[33,51,69,83,96,105],"missing":[36,73,97],"and":[38],"project":[39],"them":[40],"into":[41],"the":[42,49,63,67,70,81,88,103,106],"world":[43],"coordinate":[44],"system.":[45],"Then,":[46],"by":[47],"examining":[48],"distribution":[50],"these":[52],"pixels,":[53],"apply":[55],"weighted":[57],"least":[58],"squares":[59],"to":[61],"approximate":[62],"surface":[64,71],"function.":[65],"With":[66],"help":[68],"function,":[72],"values":[75],"can":[76],"be":[77],"recovered":[78],"correctly.":[79],"To":[80],"best":[82],"our":[84],"knowledge,":[85],"focusing":[92],"on":[93],"large":[94],"areas":[95],"information.":[99],"Qualitative":[100],"evaluation":[101],"demonstrates":[102],"effectiveness":[104],"proposed":[107],"method.":[108]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
