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We describe a hybrid Brain-Machine Interface (hBMI), designed for improving DMD (Duchenne Muscular Dystrophy) patients’ autonomy. We assess relevance of our hBMI with 2 DMD patients performing the virtual driving task shown in Fig. 1. To adapt our hBMI to patients’ motricity, it allows hand movement (real or intentional) detection by processing signals from electroencephalography (EEG), electromyography...
Humans have the capacity to move their eyes. Thanks to this capacity, they can orient their gaze to look at a relevant object inside a complex scene. In this paper, we have implemented a driver assistance application which tries to mimic this human capacity. We focus specially on highway driving situations, where the detection of obstacles must be done far away in front of the car. The implementation...
Recovering 3D motion of reflective objects in image sequences is still a cumbersome problem for computer vision. One common approach is to track geometric features of the object such as contours and edges since they are rather insensitive to light reflections. However, such basic features fail to recover the actual 3D motion in some cases. For example, the external contour of a sphere rotating about...
In this paper, we describe a new approach to face image coding using Gabor Wavelet Networks (GWN). This type of network yields good results in many signal coding applications and was already used for face representation by Kruger in 2001. The main idea is to approximate the face image, considered as a two dimensional function, with a set of Gabor wavelets. We describe an improved network training...
In this paper we present a catadioptric stereovision system based on a single camera, two plane mirrors and a prism mounted on a rotating axis. On the one hand, the system is able to project a real scene on two half images. Thus, contrary to classical stereo system, it deals with the problem of the camera synchronisation. On the other hand, the optical axis of the system can be steered to point a...
In this paper, we propose an original approach to colour correlation-based stereo matching with mono-dimensional windows. The result of the algorithm is a quasi-dense disparity map associated with its confidence map. For each pixel, correlation indices are computed for several widths of windows and several positions of the current pixel. Three criteria, extracted from each correlation curve, are combined...
In this paper, we propose an original approach to obstacles detection based on stereovision with mono-dimensional correlation windows. The result of the algorithm is a dense disparity map associated with a confidence map. For each pixel, correlation indices are computed for several widths of windows and several positions of the window centre. Three criteria, extracted from each correlation curve,...
Many algorithms for computing correlation based stereo correspondence have been proposed. Some of them can be implemented on specialized architectures, in order to obtain results in real time. In this communication, we propose an experimental comparison of the amount of hardware resources required for implementing these algorithms. An efficient architecture is presented, the STREAM, (acronym for systeme...
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