{"id":"https://openalex.org/W2189140787","doi":"https://doi.org/10.1109/mmsp.2015.7340856","title":"Texture-free large-area depth recovery for planar surfaces","display_name":"Texture-free large-area depth recovery for planar surfaces","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2189140787","doi":"https://doi.org/10.1109/mmsp.2015.7340856","mag":"2189140787"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2015.7340856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","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/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":true,"raw_author_name":"Zengqiang Yan","raw_affiliation_strings":["School of Electron. Inf. & Commun., Huazhong Univ. of Sci. & Tech., Wuhan, China"],"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/A5109447318","display_name":"Li Yu","orcid":null},"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"],"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 Electrical and Computer Engineering, Texas A&M University, College Station, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079057344"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10086764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"6"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9993000030517578,"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":0.7327967286109924},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.629414975643158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6287536025047302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528210461139679},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5206636190414429},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5153486132621765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.508223295211792},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.43277937173843384},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.42335861921310425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3867691159248352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3262477517127991},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2935923635959625},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12682822346687317}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7327967286109924},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.629414975643158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6287536025047302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528210461139679},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5206636190414429},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5153486132621765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.508223295211792},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.43277937173843384},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.42335861921310425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3867691159248352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3262477517127991},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2935923635959625},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12682822346687317},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2015.7340856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W15713842","https://openalex.org/W1989787194","https://openalex.org/W1994184495","https://openalex.org/W1999442188","https://openalex.org/W2057304076","https://openalex.org/W2065168259","https://openalex.org/W2071460053","https://openalex.org/W2073658943","https://openalex.org/W2082253268","https://openalex.org/W2101872283","https://openalex.org/W2104600947","https://openalex.org/W2121058967","https://openalex.org/W2137717254","https://openalex.org/W2149576406","https://openalex.org/W2159203540","https://openalex.org/W2165981022","https://openalex.org/W2167667767","https://openalex.org/W2169162190","https://openalex.org/W2169282664","https://openalex.org/W2797532987"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2107628111","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2394004323","https://openalex.org/W2010009304","https://openalex.org/W1647606319","https://openalex.org/W2398764543","https://openalex.org/W2922442631"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,89],"texture-free":[4],"depth":[5,10,18,86,91,110,134],"enhancement":[6,111,135],"method":[7,125],"for":[8,81],"large-area":[9,17,90],"recovery.":[11],"The":[12],"proposed":[13,124],"algorithm":[14],"identifies":[15],"missing":[19,92],"region,":[20],"and":[21,75,105,116],"iteratively":[22],"segments":[23],"its":[24],"contour":[25,44,51,63],"by":[26],"setting":[27],"different":[28],"initial":[29],"pixels":[30,67],"in":[31,58],"each":[32,43],"iteration.":[33],"Coordinate":[34],"transformation":[35],"is":[36,56,79],"used":[37],"to":[38,61],"analyze":[39],"the":[40,71,100,114,123,127],"distribution":[41],"of":[42,49,88,99,118,129],"segment.":[45],"By":[46],"examining":[47],"distributions":[48],"all":[50],"segments,":[52],"statistical":[53],"histogram":[54],"analysis":[55],"applied":[57],"our":[59,119],"approach":[60],"select":[62],"pixels.":[64],"Then,":[65],"selected":[66],"are":[68],"projected":[69],"into":[70,132],"world":[72],"coordinate":[73],"system,":[74],"multiple":[76],"linear":[77],"regression":[78],"utilized":[80],"surface":[82,102],"function":[83],"approximation.":[84],"Missing":[85],"values":[87],"region":[93],"can":[94],"be":[95],"recovered":[96],"with":[97],"guidance":[98],"approximated":[101],"function.":[103],"Quantitative":[104],"qualitative":[106],"evaluations":[107],"over":[108],"state-of-the-art":[109],"methods":[112],"demonstrate":[113],"effectiveness":[115],"superiority":[117],"method.":[120],"Being":[121],"texture-free,":[122],"has":[126],"flexibility":[128],"being":[130],"merged":[131],"traditional":[133],"methods.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
