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In this paper, we present a dense 3D reconstruction algorithm adapted to stereoscopic omni directional sensors. Our main contributions are the generalization of global constraints to central systems and the use of dynamic programming to take them into account. Experimental results show the interest of our algorithm on real data.
In future Advanced Driver Assistance Systems (ADAS), smart monitoring of the vehicle environment is a key issue. Fisheye cameras have become popular as they provide a panoramic view with a few low-cost sensors. However, current ADAS systems have limited use as most of the underlying image processing has been designed for perspective views only. In this article we illustrate how the theoretical work...
This paper proposes a scheme for a 3D metric reconstruction of the environment of a mobile robot. We first introduce the advantages of a catadioptric stereovision sensor for autonomous navigation and how we have designed it with respect to the Single Viewpoint constraint. For applications such as path generation, the robot needs a metric reconstruction of its environment, so calibration of the sensor...
Stereometric recording on a VICON TM optoelectronic system of a controlled experimental signal in which the system is used in conditions close to the real clinical circumstances of a study on gait indicated the presence of non-stochastic and non-random errors during the spatial localization of markers. This observation contradicts a data smoothing technique using repeated recordings...
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