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dc.contributor.authorAmano, Toshiyukien_US
dc.contributor.authorKagawa, Taichien_US
dc.contributor.editorOrlosky, Jason and Reiners, Dirk and Weyers, Benjaminen_US
dc.date.accessioned2021-09-07T05:53:52Z
dc.date.available2021-09-07T05:53:52Z
dc.date.issued2021
dc.identifier.isbn978-3-03868-142-7
dc.identifier.issn1727-530X
dc.identifier.urihttps://doi.org/10.2312/egve.20211327
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20211327
dc.description.abstractIn this study, we propose a projection registration method for the projections from a continuously moving vehicle for driver vision assistance during night driving. Accordingly, we employ a context-aware projection technique with adaptive pixel map- ping generation. Because vehicle movements lead to misalignment of the projection latency, a co-axial projector-camera con- figuration or high frame rate processing cannot solve this problem. However, adaptive pixel mapping corrects pixel mapping according to the vehicle speed and achieves a misalignment-free dynamic projection mapping. The effectiveness of the proposed method was evaluated through experiments using a moving projector-camera system mounted on a motorized linear stage.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectMixed / augmented reality
dc.subjectComputing methodologies
dc.subjectMixed / augmented reality
dc.titleProjection Alignment Correction for In-Vehicle Projector-Camera Systemen_US
dc.description.seriesinformationICAT-EGVE 2021 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.description.sectionheadersInteraction and Applications
dc.identifier.doi10.2312/egve.20211327
dc.identifier.pages47-51


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