{"id":"https://openalex.org/W4409356676","doi":"https://doi.org/10.1109/mcg.2025.3560155","title":"Efficient Stereo-Aware Screen-Space Ambient Occlusion With Adaptive Computation","display_name":"Efficient Stereo-Aware Screen-Space Ambient Occlusion With Adaptive Computation","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409356676","doi":"https://doi.org/10.1109/mcg.2025.3560155","pmid":"https://pubmed.ncbi.nlm.nih.gov/40215160"},"language":"en","primary_location":{"id":"doi:10.1109/mcg.2025.3560155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2025.3560155","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yu-Ting Wu","orcid":"https://orcid.org/0000-0003-3848-594X"},"institutions":[{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Ting Wu","raw_affiliation_strings":["National Taipei University, New Taipei City, Taiwan","National Taipei University, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-3848-594X","affiliations":[{"raw_affiliation_string":"National Taipei University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I99613584"]},{"raw_affiliation_string":"National Taipei University, Taiwan","institution_ids":["https://openalex.org/I99613584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99613584"],"apc_list":null,"apc_paid":null,"fwci":1.1332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76686726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"46","issue":"2","first_page":"85","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9524999856948853,"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":0.9524999856948853,"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/T10888","display_name":"Augmented Reality Applications","score":0.9401000142097473,"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":0.791138768196106},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6215081214904785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6112045049667358},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5489134192466736},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.48500606417655945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.457600861787796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15037745237350464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791138768196106},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6215081214904785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6112045049667358},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5489134192466736},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.48500606417655945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.457600861787796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15037745237350464}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mcg.2025.3560155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2025.3560155","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},{"id":"pmid:40215160","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40215160","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE computer graphics and applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W63415228","https://openalex.org/W1502588543","https://openalex.org/W1974568352","https://openalex.org/W1974644415","https://openalex.org/W1976928721","https://openalex.org/W1981952333","https://openalex.org/W1994400377","https://openalex.org/W2007716752","https://openalex.org/W2018176438","https://openalex.org/W2030716039","https://openalex.org/W2063995335","https://openalex.org/W2069476376","https://openalex.org/W2086255822","https://openalex.org/W2091433765","https://openalex.org/W2126310424","https://openalex.org/W2134611578","https://openalex.org/W2296032317","https://openalex.org/W2810629675","https://openalex.org/W2963615290","https://openalex.org/W2963920720","https://openalex.org/W2967401816","https://openalex.org/W2968712354","https://openalex.org/W3081038565","https://openalex.org/W3159253604","https://openalex.org/W4229055331","https://openalex.org/W4312976576","https://openalex.org/W4389296617","https://openalex.org/W4392405651"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Screen-space":[0],"ambient":[1],"occlusion":[2],"(SSAO)":[3],"has":[4],"become":[5],"a":[6],"widely":[7],"used":[8],"technique":[9],"in":[10,33,43],"real-time":[11],"rendering,":[12],"valued":[13],"for":[14,21,55],"its":[15],"high":[16],"performance":[17],"and":[18,37,50,96],"full":[19],"support":[20],"dynamic":[22],"geometry.":[23],"However,":[24],"applying":[25],"SSAO":[26,58,90],"directly":[27],"to":[28,41,74,104,116],"stereo":[29],"rendering":[30,122],"can":[31],"result":[32],"incorrect":[34],"depth":[35],"perception":[36],"viewer":[38],"discomfort":[39],"due":[40],"differences":[42],"captured":[44],"scene":[45],"approximations":[46],"between":[47],"the":[48,76],"left":[49],"right":[51],"views.":[52],"Existing":[53],"methods":[54],"generating":[56],"stereo-consistent":[57,80,113],"often":[59],"involve":[60],"substantial":[61],"computational":[62],"costs.":[63],"This":[64],"article":[65],"introduces":[66],"an":[67],"adaptive":[68],"method,":[69],"inspired":[70],"by":[71,88],"Weber's":[72],"law,":[73],"enhance":[75],"efficiency":[77],"of":[78],"achieving":[79],"SSAO.":[81],"Our":[82],"method":[83,111],"identifies":[84],"inconsistent":[85],"pixels":[86],"generated":[87],"cost-effective":[89],"algorithms,":[91],"such":[92],"as":[93],"monoscopic":[94],"SSAO,":[95],"selectively":[97],"applies":[98],"computationally":[99],"intensive":[100],"stereo-aware":[101],"computations":[102],"only":[103],"those":[105],"pixels.":[106],"Experiments":[107],"demonstrate":[108],"that":[109],"our":[110],"delivers":[112],"results":[114],"comparable":[115],"state-of-the-art":[117],"techniques":[118],"while":[119],"significantly":[120],"enhancing":[121],"performance.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}