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It is well known in a Bayesian filtering framework, the use of inertial sensors such as accelerometers and gyroscopes improves 3D tracking performance compared to using camera measurements only. The performance improvement is more evident when the camera undergoes a high degree of motion. However, it is not well known whether the inertial sensors should be used as control inputs or as measurements...
In this paper we present an efficient algorithm for estimating the 3D localization in an urban environments by fusing measurements from GPS receiver, inertial sensor and vision. Such hybrid sensor is important for numerous applications including outdoor mobile augmented reality and 3D robot localization. Our approach is based on non-linear filtering of these complementary sensors using a multi-rate...
Flight cockpit head tracking system is an important impetus for head pose tracking in fields of virtual or augmented reality. This paper presents a novel approach to dynamically track pilot's head pose using sensor fusion. The proposed approach utilizes a sensor fusion framework, composed of extended Kalman filters (EKF) and fusion filters (FF), to fuse poses from an inside-out tracking (IOT) and...
Real-time camera tracking is a system to estimate camera motion in real-time only given a image sequence in markerless background. It can be used in augmented reality application in which CG objects are inserted into live action plates by real-time. Proposed system is based on parallel processing and composed of two parts, they are feature tracking part, camera motion estimation part. In the feature...
Anywhere augmentation pursues the goal of lowering the initial investment of time and money necessary to participate in mixed reality work, bridging the gap between researchers in the field, and regular computer users. Our paper contributes to this goal by introducing the GroundCam, a cheap tracking modality with no significant setup necessary. By itself, the GroundCam provides high frequency and...
One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on offline pre-processing steps nor on pre-knowledge of the entire target scene. The connection between the real and the virtual world is made by a given CAD model of one object in the scene. However, the model is only needed for...
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