Donald Washburn

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In this paper, we apply a knowledge-based segmenta-tion method developed for still and video images to the problem of tracking missiles and high speed projectiles. Since we are only interested in segmenting a portion of the missile (namely, the nose cone), we use our seg-mentation proceclure as a method of adapting thresh-olding. The key idea is to utilize(More)
Virtual environment systems, especially those supporting multi-modal interactions require a robust and flexible software infrastructure that supports a wide range of devices, interaction techniques, and target applications. In addition to interactivity needs, a key factor of robustness of the software is the minimization of latency and more importantly,(More)
—A combined knowledge-based segmentation/active contour algorithm is used for target tracking through turbulence. The algorithm utilizes Bayesian modeling for segmentation of noisy imagery obtained through longrange, laser imaging of a distance target, and active contours for tip tracking. The algorithm demonstrates improved target tracking performance when(More)
Nearly all test performed in audiology and vestibulometry are based on quantitative paradigms and lead to results expressed in numerical form that are well suited for computer processing. Since 1980, the Oto-rhino-laryngology department of the Geneva University Hospital stores the complete patient record with all the results obtained in the otoneurological(More)
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