{"id":"https://openalex.org/W2790965236","doi":"https://doi.org/10.1109/vcip.2017.8305072","title":"Depth estimation for outdoor image using couple dictionary learning and region detection","display_name":"Depth estimation for outdoor image using couple dictionary learning and region detection","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2790965236","doi":"https://doi.org/10.1109/vcip.2017.8305072","mag":"2790965236"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5026815547","display_name":"Qiqi Yao","orcid":null},"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":"Qiqi Yao","raw_affiliation_strings":["Communication and Information Security Lab, Peking University, Shenzhen, china"],"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Peking University, Shenzhen, china","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057015645","display_name":"Guibo Luo","orcid":"https://orcid.org/0000-0002-1709-1207"},"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":"Guibo Luo","raw_affiliation_strings":["Communication and Information Security Lab, Peking University, Shenzhen, china"],"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Peking University, Shenzhen, china","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"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":"Yuesheng Zhu","raw_affiliation_strings":["Communication and Information Security Lab, Peking University, Shenzhen, china"],"affiliations":[{"raw_affiliation_string":"Communication and Information Security Lab, Peking University, Shenzhen, china","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026815547"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21947868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"101","issue":null,"first_page":"1","last_page":"4"},"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing 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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.788170576095581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7412324547767639},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6814494132995605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6640154123306274},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6287785768508911},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5745833516120911},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5100255608558655},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48892083764076233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3977396488189697}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.788170576095581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412324547767639},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6814494132995605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6640154123306274},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6287785768508911},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5745833516120911},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5100255608558655},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48892083764076233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3977396488189697},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327511","display_name":"Development and Reform Commission of Shenzhen Municipality","ror":"https://ror.org/03jmg4515"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1542723449","https://openalex.org/W1545195129","https://openalex.org/W1942767339","https://openalex.org/W2026203852","https://openalex.org/W2077654318","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2123043875","https://openalex.org/W2132947399","https://openalex.org/W2158211626","https://openalex.org/W2160547390","https://openalex.org/W2295509429","https://openalex.org/W2519875490","https://openalex.org/W6632547051","https://openalex.org/W6640622493","https://openalex.org/W6677973867","https://openalex.org/W6678025836","https://openalex.org/W6683067110"],"related_works":["https://openalex.org/W2486460843","https://openalex.org/W2168109476","https://openalex.org/W1968121071","https://openalex.org/W2061647633","https://openalex.org/W2020254986","https://openalex.org/W2686985752","https://openalex.org/W1981739126","https://openalex.org/W2003805688","https://openalex.org/W3035059915","https://openalex.org/W3034835492"],"abstract_inverted_index":{"Depth":[0],"estimation":[1],"from":[2,64],"a":[3,7,128],"single":[4],"image":[5,26],"is":[6,16,62,78],"significant":[8],"and":[9,24,54],"challenging":[10],"task":[11],"in":[12,90,105],"computer":[13],"vision.":[14],"It":[15],"difficult":[17],"to":[18,40,47,84,92,100,115],"represent":[19],"the":[20,37,41,49,59,72,81,86,95,102,137],"correspondence":[21],"between":[22],"depth":[23,43,51,69,96,131],"RGB":[25,38],"without":[27],"any":[28],"prior":[29],"information.":[30],"Unlike":[31],"previous":[32],"approaches":[33],"that":[34,124],"only":[35],"map":[36,132],"images":[39],"corresponding":[42],"locally,":[44],"we":[45,98],"propose":[46,99],"combine":[48],"local":[50,68],"with":[52,80],"region-level":[53],"global":[55,60,82,87],"scene":[56],"structures.":[57],"Firstly,":[58],"layout":[61,83],"retrieved":[63],"similar":[65],"images.":[66],"Secondly,":[67],"estimated":[70],"by":[71],"coupled":[73],"dictionary":[74],"learning":[75],"(DL)":[76],"formulation":[77],"combined":[79],"maintain":[85],"result.":[88],"Finally,":[89],"order":[91],"further":[93],"refine":[94],"estimated,":[97],"detect":[101],"sky":[103],"region":[104],"outdoor":[106],"scene.":[107],"In":[108],"addition,":[109],"several":[110],"edge-preserving":[111],"strategies":[112],"are":[113],"taken":[114],"clearly":[116],"distinguish":[117],"different":[118],"objects.":[119],"The":[120],"experimental":[121],"results":[122],"demonstrate":[123],"our":[125],"method":[126],"represents":[127],"more":[129],"realistic":[130],"than":[133],"other":[134],"methods":[135],"on":[136],"popular":[138],"public":[139],"dataset":[140],"Make3D.":[141]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
