{"id":"https://openalex.org/W3088079090","doi":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-098","title":"Dynamic Zero-Parallax-Setting Techniques for Multi-View Autostereoscopic Display","display_name":"Dynamic Zero-Parallax-Setting Techniques for Multi-View Autostereoscopic Display","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088079090","doi":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-098","mag":"3088079090"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.2.sda-098","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-098","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5073565712","display_name":"Yuzhong Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuzhong Jiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076267588","display_name":"Mark Ping Chan Mok","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Ping Chan Mok","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103927532","display_name":"Kayton Wai Keung Cheung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kayton Wai Keung Cheung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009606451","display_name":"Man Chi Chan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Man Chi Chan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003205797","display_name":"Tak Wai Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tak Wai Shen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069366117","display_name":"Yiu Kei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiu Kei Li","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073565712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1887,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57339022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":"2","first_page":"98","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9980000257492065,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9648000001907349,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.957099974155426,"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/autostereoscopy","display_name":"Autostereoscopy","score":0.8873754739761353},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.8624904155731201},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7959800958633423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7936205863952637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.778110146522522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7340390682220459},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6162614822387695},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5983749628067017},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.526443362236023},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.4823843538761139},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44114089012145996},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41822347044944763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3792409896850586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18023106455802917},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.16750836372375488}],"concepts":[{"id":"https://openalex.org/C39303567","wikidata":"https://www.wikidata.org/wiki/Q7462910","display_name":"Autostereoscopy","level":3,"score":0.8873754739761353},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.8624904155731201},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7959800958633423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7936205863952637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778110146522522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7340390682220459},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6162614822387695},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5983749628067017},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.526443362236023},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.4823843538761139},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44114089012145996},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41822347044944763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3792409896850586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18023106455802917},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.16750836372375488}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.2.sda-098","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-098","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2134545672","https://openalex.org/W2087658400","https://openalex.org/W1990975742","https://openalex.org/W2037432799","https://openalex.org/W2194350964","https://openalex.org/W1978517756","https://openalex.org/W1997826250","https://openalex.org/W2022444673","https://openalex.org/W2045934666","https://openalex.org/W2042142431"],"abstract_inverted_index":{"The":[0],"objective":[1],"of":[2,11,43,64,87,90,97,103,139,160,167],"this":[3,110],"paper":[4],"is":[5,39],"to":[6,20,47,66],"research":[7],"a":[8,40,143],"dynamic":[9,116,170],"computation":[10,128],"Zero-Parallax-Setting":[12],"(ZPS)":[13],"for":[14,26],"multi-view":[15],"autostereoscopic":[16,161],"displays":[17],"in":[18,75],"order":[19],"effectively":[21],"alleviate":[22],"blurry":[23],"3D":[24,158,176],"vision":[25],"images":[27],"with":[28],"large":[29],"disparity.":[30],"Saliency":[31,132],"detection":[32,82],"techniques":[33,71,118],"can":[34,56,106,154,173],"yield":[35],"saliency":[36,44,53,76,127],"map":[37],"which":[38,45],"topographic":[41],"representation":[42],"refers":[46],"visually":[48],"dominant":[49],"locations.":[50],"By":[51],"using":[52],"map,":[54,99],"we":[55,112],"predict":[57],"what":[58],"attracts":[59],"the":[60,85,91,95,100,157,164],"attention,":[61],"or":[62],"region":[63],"interest,":[65],"viewers.":[67],"Recently,":[68],"deep":[69],"learning":[70],"have":[72,84],"been":[73],"applied":[74],"detection.":[77],"Deep":[78],"learning-based":[79],"salient":[80,92,104,140,168],"object":[81],"methods":[83,153],"advantage":[86],"highlighting":[88],"most":[89],"objects.":[93],"With":[94],"help":[96,155],"depth":[98],"spatial":[101,137,165],"distribution":[102,138,166],"objects":[105,141],"be":[107],"computed.":[108],"In":[109],"paper,":[111],"will":[113],"compare":[114],"two":[115],"ZPS":[117,171],"based":[119],"on":[120],"visual":[121],"attention.":[122],"They":[123],"are":[124],"1)":[125],"maximum":[126,179],"by":[129,142],"Graphic-Based":[130],"Visual":[131],"(GBVS)":[133],"algorithm":[134],"and":[135],"2)":[136],"convolutional":[144],"neural":[145],"networks":[146],"(CNN)-based":[147],"model.":[148],"Experiments":[149],"prove":[150],"that":[151],"both":[152],"improve":[156],"effect":[159],"displays.":[162],"Moreover,":[163],"objects-based":[169],"technique":[172],"achieve":[174],"better":[175],"performance":[177],"than":[178],"saliency-based":[180],"method.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}