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We have designed and implemented a system for real-time detection of 2-D features on a reconfigurable computer based on Field Programmable Gate Arrays (FPGA's). We envision this device as the front-end of a system able to track image features in real-time control applications like autonomous vehicle navigation. The algorithm employed to select good features(More)
We propose a framework for simultaneous phase unwrapping and multipath interference cancellation (SPUMIC) in homo-dyne time-of-flight (ToF) cameras. Our multi-frequency acquisition framework is based on parametric modeling of the multipath interference phenomena. We use robust spectral estimation methods with low computational complexity to detect and(More)
We address the problem of autocalibration of a moving camera with unknown constant intrinsic parameters. Existing autocalibration techniques use numerical optimization algorithms whose convergence to the correct result cannot be guaranteed, in general. To address this problem, we have developed a method where an interval branch-and-bound method is employed(More)
Neuropsychological outcome of 100 patients with severe head injuries is correlated with their clinical condition on admission. The aim of this paper is to estimate the reliability of several early indices of brain damage severity in formulating a prognosis. Both the Glasgow Coma Scale and the neurological syndrome involved appeared to be highly reliable in(More)
In this paper, we present an implementation of a real-time convolver, based on Field Programmable Gate Arrays (FPGA's) to perform the convolution operations. Main characteristics of the proposed approach are the usage of external memory to implement a FIFO buffer where incoming pixels are stored and the partitioning of the convolution matrix among several(More)
22 patients undergoing percutaneous microcompression of Gasserian ganglion for the treatment of trigeminal neuralgia were monitored intraoperatively by means of trigeminal evoked potentials (TEPs). The second trigeminal branch was stimulated at the maxillary foramen; evoked responses were recorded using subcutaneous electrodes placed over the scalp. TEPs(More)
We deal with the problem of obtaining rigorous bounds to the position of 3-D points computed by stereo triangulation when both the camera matrix and the image points are affected by uncertainty. By " rigorous bounds " we mean that the true unknown 3-D points are guaranteed to lie within the given intervals. To this end we first model the calibration process(More)
Fractures of the occipital condyle occur very rarely. Plain cervical spine films are not able to detect them. Tomography and CT scan of atlanto-occipital joint are, in these cases, very important. The Authors report a case of a young girl who had a head trauma associated to a fracture of the right occipital condyle. The value of CT and tomography are(More)
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where an interval branch-and-bound method is employed for numerical minimization. Thanks to the properties of Interval Analysis this method is guaranteed to converge to the global(More)