{"id":"https://openalex.org/W3053451280","doi":"https://doi.org/10.1145/3388770.3407413","title":"Seamlessly Depth-Enhanced VR Display for 360 Wild Images","display_name":"Seamlessly Depth-Enhanced VR Display for 360 Wild Images","publication_year":2020,"publication_date":"2020-08-15","ids":{"openalex":"https://openalex.org/W3053451280","doi":"https://doi.org/10.1145/3388770.3407413","mag":"3053451280"},"language":"en","primary_location":{"id":"doi:10.1145/3388770.3407413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388770.3407413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2020 Posters","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/A5078691743","display_name":"Yan-Jen Su","orcid":null},"institutions":[{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan-Jen Su","raw_affiliation_strings":["Industrial Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute","institution_ids":["https://openalex.org/I142066694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034765588","display_name":"Chia-Hsin Chien","orcid":null},"institutions":[{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chia-Hsin Chien","raw_affiliation_strings":["Industrial Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute","institution_ids":["https://openalex.org/I142066694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050124791","display_name":"Ruen\u2010Rone Lee","orcid":"https://orcid.org/0000-0002-0368-3973"},"institutions":[{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruen-Rone Lee","raw_affiliation_strings":["Industrial Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute","institution_ids":["https://openalex.org/I142066694"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101019402","display_name":"Feng-Sheng Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng-Sheng Lin","raw_affiliation_strings":["Industrial Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute","institution_ids":["https://openalex.org/I142066694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078691743"],"corresponding_institution_ids":["https://openalex.org/I142066694"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08427438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7299741506576538},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.6765890121459961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951524972915649},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.587472140789032},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.570266604423523},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.54522305727005},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.51346355676651},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48808419704437256},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4490917921066284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12707418203353882},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0888013243675232},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08449450135231018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299741506576538},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.6765890121459961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951524972915649},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.587472140789032},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.570266604423523},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.54522305727005},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.51346355676651},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48808419704437256},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4490917921066284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12707418203353882},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0888013243675232},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08449450135231018},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3388770.3407413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388770.3407413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2020 Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2738549586","https://openalex.org/W2900510798","https://openalex.org/W3081167590","https://openalex.org/W3138029226","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330","https://openalex.org/W2517641583","https://openalex.org/W4221071877"],"abstract_inverted_index":{"Due":[0],"to":[1,28,42],"the":[2,8,20,47],"limited":[3],"range":[4],"of":[5,22],"depth":[6,9,32,39],"sensors,":[7],"estimators":[10],"for":[11,33,45],"wild":[12,35],"images":[13],"were":[14],"trained":[15],"by":[16],"ordinal":[17,31],"data.":[18],"Without":[19],"need":[21],"re-train,":[23],"we":[24],"proposed":[25],"an":[26],"approach":[27],"create":[29],"seamlessly":[30],"360":[34,38],"images.":[36],"The":[37],"was":[40],"applied":[41],"VR":[43],"display":[44],"improving":[46],"virtual":[48],"perception.":[49]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}