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This paper presents a data-driven method to track hand gesture and animate 3D hand model. The proposed method uses a new generation of active camera based on time of flight principle (The Swissranger4000). To achieve the tracking, the presented method exploits a database of hand gestures represented as 3D point clouds acquired from the Swissranger4000 video camera. In order to track a large number...
We demonstrate a complete system for markerless augmented reality using robust structure from motion. The proposed system includes two main components. The first is a means of learning the appearance of complex 3D objects and augmenting them with virtual annotations. Its output is database of recognizable landmarks along with 3D descriptions of accompanying virtual objects. The second component uses...
We present a method for recognizing a vehicle's make and model in a video clip taken from an arbitrary viewpoint. This is an improvement over existing methods which require a front view. In addition, we present a Bayesian approach for establishing accurate correspondences in multiple view geometry. We take a model-based, top-down approach to classify vehicles. First, the vehicle pose is estimated...
We review some recent techniques for 3D tracking and occlusion handling for computer vision-based augmented reality. We discuss what their limits for real applications are, and why object recognition techniques are certainly the key to further improvements.
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