Online Registration Tool and Markerless Tracking for Augmented Reality
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For augmented reality applications, accurate estimation of the camera pose is required. An existing video-based markerless tracking system, developed at the ITS, presents several weaknesses towards this goal. In order to improve the video tracker, several ...
Accurate registration between real and virtual objects is critical for Augmented Reality (AR) applications. State of the art shows that no tracking device is individually adequate. We present a data fusion framework that combines orientation measurements o ...
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This work presents a model based real-time method for tracking 3D objects with a monocular camera. Our goal is to implement a tracking algorithm with a non conventional robustness in order to be used in hostile environments. We achieve this goal by integra ...
This real-time augmented reality demonstration relies on our tracking algorithm described in V. Lepetit et al (2003). This algorithm considers natural feature points, and then does not require engineering of the environment. It merges the information from ...
Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, precision in head pose estimation is dependent on tracking accuracy which itself c ...
This chapter introduces the field of Mixed Reality that merges the real and virtual worlds seamlessly. To develop a Mixed Reality system, two fundamental problems should be addressed: tracking and user interface. Tracking in Mixed Reality is defined as the ...
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Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, precision in head pose estimation is dependent on tracking accuracy which itself c ...