We describe a prototype implementation of a future mobile phone called CyPhone. In addition to voice calls, it has been designed to support context-specific and multi-user multimedia services in an augmented reality manner. Context-awareness has been implemented with GPS-based navigation techniques and a registration algorithm, capable of detecting a predefined 3-D model or a landmark in the environment. A new adaptive transport protocol has been developed to support real-time packet-switched data transfer between concurrent users of mobile augmented reality applications. The prototype itself is based on PC/104+ architecture. As a case example we describe an augmented reality-based personal navigation service.
The purpose of this work has been to find solutions for reliable real-time monocular visual tracking. The goal is to estimate the relative motion of a camera with respect to a rigid 3-D scene by tracking features. In the beginning, the 3-D locations of the features are not known accurately, but during the tracking process these uncertainties are reduced through the integration of new observations. Most attention has been given to modeling measurement uncertainties and selectiiig the features to be extracted from image frames. The experimental system under implementation employs a bank of extended Kalman filtering based trackers each of which calculates estimates for location and motion using measurements of a few feature points at a time. The small number of points makes the trackers sensitive to various measurement errors, simplifying the detection of tracking failures, thereby giving potential for improving reliabily. The preliminary experiments have been performed with satisfactory results for sequences of images at the rates of 22 to 35 frames per second.
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