{"id":"https://openalex.org/W7133215057","doi":"https://doi.org/10.1145/3789514.3796254","title":"Demo: RHOAR: Live On-Device Demonstration of Mobile AR Occlusion with Depth Switching","display_name":"Demo: RHOAR: Live On-Device Demonstration of Mobile AR Occlusion with Depth Switching","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7133215057","doi":"https://doi.org/10.1145/3789514.3796254"},"language":null,"primary_location":{"id":"doi:10.1145/3789514.3796254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3789514.3796254","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3789514.3796254","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099012418","display_name":"Daisuke Goto","orcid":"https://orcid.org/0009-0005-7713-1396"},"institutions":[{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Goto","raw_affiliation_strings":["Keio University, Fujisawa, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0009-0005-7713-1396","affiliations":[{"raw_affiliation_string":"Keio University, Fujisawa, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210141715"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112835497","display_name":"Jeong Gil Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JeongGil Ko","raw_affiliation_strings":["Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-0799-4039","affiliations":[{"raw_affiliation_string":"Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013277420","display_name":"T. Okoshi","orcid":"https://orcid.org/0000-0001-9574-7278"},"institutions":[{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Okoshi","raw_affiliation_strings":["Keio University, Fujisawa, Kanagawa, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9574-7278","affiliations":[{"raw_affiliation_string":"Keio University, Fujisawa, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210141715"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.1987999975681305,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.1987999975681305,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10888","display_name":"Augmented Reality Applications","score":0.15629999339580536,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.12280000001192093,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/mobile-device","display_name":"Mobile device","score":0.5902000069618225},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.48159998655319214},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.45989999175071716},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.34869998693466187},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.31529998779296875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822999715805054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6797000169754028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6230999827384949},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.45989999175071716},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2802000045776367},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3789514.3796254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3789514.3796254","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3789514.3796254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3789514.3796254","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2902486335","https://openalex.org/W4413145918"],"related_works":[],"abstract_inverted_index":{"Occlusion":[0],"is":[1],"essential":[2],"for":[3],"visually":[4],"coherent":[5],"mobile":[6,54],"AR,":[7],"yet":[8],"existing":[9],"methods":[10],"rely":[11],"on":[12],"sparse":[13],"depth":[14,26,32,39],"that":[15],"breaks":[16],"around":[17],"thin":[18],"structures[1],":[19],"yielding":[20],"temporal":[21],"flicker,":[22],"unstable":[23],"edges,":[24],"and":[25,46],"discontinuities.":[27],"Deep":[28],"learning":[29],"(DL)":[30],"based":[31],"estimation":[33],"can":[34],"obtain":[35],"fine":[36],"structured":[37],"dense":[38],"image[2],":[40],"but":[41],"its":[42],"latency,":[43],"GPU":[44],"cost,":[45],"motion":[47],"sensitivity":[48],"make":[49],"direct":[50],"deployment":[51],"in":[52],"interactive":[53],"AR":[55],"impractical.":[56]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-03T00:00:00"}
