Enabling large-scale outdoor Mixed Reality and augmented reality

ISMAR '11 Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality(2011)

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摘要
Summary form only given. While there is significant recent progress in technologies supporting augmented reality for small indoor environments, there is still much work to be done for large outdoor environments. This workshop focuses primarily on research that enables high-quality outdoor Mixed Reality (MR) and Augmented Reality (AR) applications. These research topics include, but are not restricted to: - 3D geo-referenced data (images, point clouds, and models) - Algorithms for object recognition from large databases of geo-referenced data - Algorithms for object tracking in outdoor environment - Multi-cue fusion to achieve improved performance of object detection and tracking - Novel representation schemes to facilitate large-scale content distribution - 3D reasoning to support intelligent augmentation - Novel and improved mobile capabilities for data capture (device sensors), processing, and display - Applications, experiences, and user interface techniques. The workshop will also showcase existing prototypes of applications enabled by these technologies: mirror worlds, high-fidelity virtual environments, applications of panoramic imagery, and user studies relating to these media types. This workshop aims to bring together academic and industrial researchers and to foster discussion amongst participants on the current state of the art and future directions for technologies that enable large-scale outdoor MR and AR applications. The workshop will start with a session in which position statements and overviews of the state of the art are presented. In the afternoon, we will follow up with discussion sessions and a short closing session.
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关键词
improved mobile capability,augmented reality,improved performance,high-quality outdoor mixed reality,ar application,large outdoor environment,object recognition,large-scale outdoor mixed reality,object tracking,object detection,geo-referenced data,outdoor environment,large-scale outdoor mr,user interface,sensor fusion,data handling,virtual environment,point cloud,data capture,mixed reality,user interfaces
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