dc.contributor.author | Amano, Toshiyuki | en_US |
dc.contributor.author | Kagawa, Taichi | en_US |
dc.contributor.editor | Orlosky, Jason and Reiners, Dirk and Weyers, Benjamin | en_US |
dc.date.accessioned | 2021-09-07T05:53:52Z | |
dc.date.available | 2021-09-07T05:53:52Z | |
dc.date.issued | 2021 | |
dc.identifier.isbn | 978-3-03868-142-7 | |
dc.identifier.issn | 1727-530X | |
dc.identifier.uri | https://doi.org/10.2312/egve.20211327 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egve20211327 | |
dc.description.abstract | In 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.publisher | The Eurographics Association | en_US |
dc.subject | Human centered computing | |
dc.subject | Mixed / augmented reality | |
dc.subject | Computing methodologies | |
dc.subject | Mixed / augmented reality | |
dc.title | Projection Alignment Correction for In-Vehicle Projector-Camera System | en_US |
dc.description.seriesinformation | ICAT-EGVE 2021 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments | |
dc.description.sectionheaders | Interaction and Applications | |
dc.identifier.doi | 10.2312/egve.20211327 | |
dc.identifier.pages | 47-51 | |