iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1007/978-3-030-00776-8_67
{"id":"https://openalex.org/W2891234689","doi":"https://doi.org/10.1007/978-3-030-00776-8_67","title":"Simulating Bokeh Effect with Kinect","display_name":"Simulating Bokeh Effect with Kinect","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891234689","doi":"https://doi.org/10.1007/978-3-030-00776-8_67","mag":"2891234689"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00776-8_67","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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"book-chapter","type_crossref":"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/A5100397453","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0001-8782-4819"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082371574","display_name":"Huiwen Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiwen Bian","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058788851","display_name":"Peng Yanhong","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Peng","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015596649","display_name":"Xiang\u2010Jun Shen","orcid":"https://orcid.org/0000-0002-3359-8972"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Shen","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006796286","display_name":"Heping Song","orcid":"https://orcid.org/0000-0002-8583-2804"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heping Song","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu Univeristy, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100397453"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392,"provenance":"doaj"},"apc_paid":null,"fwci":0.193,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.743122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"734","last_page":"743"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Stereo Vision and Depth Estimation","score":0.9998,"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":"Stereo Vision and Depth Estimation","score":0.9998,"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":"Single Image Super-Resolution Techniques","score":0.9997,"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":0.9991,"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/rgb-color-model","display_name":"RGB color model","score":0.6726665},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.640696},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.5610405},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume Rendering","score":0.547658},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image Processing","score":0.54221},{"id":"https://openalex.org/keywords/camera-lens","display_name":"Camera lens","score":0.538386},{"id":"https://openalex.org/keywords/depth-estimation","display_name":"Depth Estimation","score":0.53119},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast Enhancement","score":0.529052},{"id":"https://openalex.org/keywords/simulations","display_name":"Simulations","score":0.526452},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.41673616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7380371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365783},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6726665},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.640696},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6096858},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.5610405},{"id":"https://openalex.org/C2778022956","wikidata":"https://www.wikidata.org/wiki/Q192234","display_name":"Camera lens","level":3,"score":0.538386},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.5143703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46023133},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45633596},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.41673616},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39831045},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.3928522},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21110857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.116806775},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09404507},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00776-8_67","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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W175420331","https://openalex.org/W1971981286","https://openalex.org/W1994184495","https://openalex.org/W2021924320","https://openalex.org/W2085575672","https://openalex.org/W2089928737","https://openalex.org/W2104600947","https://openalex.org/W2106403211","https://openalex.org/W2118273112","https://openalex.org/W2119588908","https://openalex.org/W2125188192","https://openalex.org/W2136154655","https://openalex.org/W2153935912","https://openalex.org/W2165886173","https://openalex.org/W2293707887","https://openalex.org/W2404974851","https://openalex.org/W2581673920","https://openalex.org/W2594023316","https://openalex.org/W4239978906","https://openalex.org/W4241716071"],"related_works":["https://openalex.org/W3010334531","https://openalex.org/W2994735104","https://openalex.org/W2804670141","https://openalex.org/W2802215956","https://openalex.org/W2361248577","https://openalex.org/W2188751381","https://openalex.org/W2027349390","https://openalex.org/W1997064583","https://openalex.org/W1988828630","https://openalex.org/W1983639621"],"abstract_inverted_index":{"Bokeh":[0,30,43,94,129],"effect":[1,5,44,95],"is":[2,9,81,96,124],"an":[3,64],"artistic":[4],"in":[6,126],"photography,":[7],"which":[8],"the":[10,15,29,42,46,57,68,71,75,78,84,90,101,116,121],"out-of-focus":[11],"blur":[12],"caused":[13],"by":[14,50,60,98],"camera":[16],"lens,":[17],"typically,":[18],"professional":[19],"cameras":[20],"with":[21,45,67,93,100],"wide":[22],"aperture":[23],"lenses":[24],"are":[25],"necessary":[26],"to":[27,40],"obtain":[28],"effect.":[31,130],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"a":[37],"computational":[38],"method":[39,54,123],"simulate":[41],"RGBD":[47],"data":[48],"captured":[49],"Kinect.":[51],"The":[52],"proposed":[53,122],"first":[55],"refines":[56],"depth":[58,86],"map":[59,87],"modeling":[61],"it":[62],"as":[63],"optimization":[65],"problem":[66],"guidance":[69],"of":[70,77,113],"corresponding":[72],"RGB":[73,91],"image;":[74],"size":[76],"filter":[79],"kernel":[80],"calculated":[82],"from":[83],"refined":[85],"afterwards,":[88],"finally,":[89],"image":[92],"computed":[97],"filtering":[99],"varying-sized":[102],"and":[103,115],"varying-shaped":[104],"kernels.":[105],"We":[106],"have":[107],"conducted":[108],"experiment":[109,117],"on":[110],"4":[111],"sets":[112],"data,":[114],"result":[118],"suggests":[119],"that":[120],"optimistic":[125],"computing":[127],"natural":[128]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2891234689","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2024-11-03T21:12:28.462503","created_date":"2018-09-27"}