In this paper the parallel conflict-free access to complete extended binary subtrees of complete binary trees is investigated. Thereby linear and also nonlinear memory module assignment functions S are considered. Fur...
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A technique to guide landmark matching known as hopping dynamic programming is described. The location of the model in the scene is estimated with a least-squares fit. A heuristic measure is then computed to decide if...
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A technique to guide landmark matching known as hopping dynamic programming is described. The location of the model in the scene is estimated with a least-squares fit. A heuristic measure is then computed to decide if the model is in the scene. The shape features of an object are the landmarks associated with the object. The landmarks of an object are defined as the points of interest of the object that have important shape attributes. Examples of landmarks are corners, holes, protrusions, and high-curvature points.< >
A tour τ of a finite set P of points is a necklace-tour if there are disks with the points in P as centers such that two disks intersect if and only if their centers are adjacent in τ. It has been observed by Sander...
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We present a method for the estimation of the filtering properties of living tissue from the experimental output data stimulated by inputting sinusoidal electric signals through intramuscular electrodes in the lower l...
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We present a method for the estimation of the filtering properties of living tissue from the experimental output data stimulated by inputting sinusoidal electric signals through intramuscular electrodes in the lower leg muscle. This method is based on approximating the tissue filter by a rational transfer function. The estimation procedure consists of three parts: estimation of frequency response from sinusoidal input and output data using a correlation method, recursive weighted least square (RWLS) estimation to synthesize a continuous transfer function from the frequency response data and discretization of the transfer function. The estimated "tissue filter" is then used in recovering the intramuscular signal from the surface signal. An example of inverse filtering real EMG waveforms using the estimated tissue filter is given.
We present a method for the estimation of intramuscular electromyographic (EMG) signals from the given surface EMG signals. This method is based on representing the surface EMG signal as an autoregressive (AR) time se...
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We present a method for the estimation of intramuscular electromyographic (EMG) signals from the given surface EMG signals. This method is based on representing the surface EMG signal as an autoregressive (AR) time series model with a delayed intramuscular EMG signal as an input. Assuming that prototypes of intramuscular and surface EMG signals are available, the parameters of the time series model that transforms the intramuscular signal to the surface signal are identified. The identified model is then used in estimating the intramuscular signal from the surface signal. This method is illustrated using real EMG waveforms.
In this paper we discuss and elaborate on the conceptual requirements as well as the tools of the General AMIGO Model for group communication. The special features of the model are examined with particular reference t...
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作者：
BURT, PJImage Processing Laboratory
Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy New York 12181
A common task in image analysis is that of measuring image properties within local windows. Often usefulness of these property estimates is determined by characteristics of the windows themselves. Critical factors inc...
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A common task in image analysis is that of measuring image properties within local windows. Often usefulness of these property estimates is determined by characteristics of the windows themselves. Critical factors include the window size and shape, and the contribution the window makes to the cost of computation, A highly efficient procedure for computing property estimates within Gaussian-like windows is described. Estimates are obtained within windows of many sizes simultaneously.
A technique of edge detection and line finding for linear feature extraction is described. Edge detection is by convolution with small edge-like masks. The resulting output is thinned and linked by using edge position...
A technique of edge detection and line finding for linear feature extraction is described. Edge detection is by convolution with small edge-like masks. The resulting output is thinned and linked by using edge positions and orientations and approximated by piecewise linear segments. Some linear features, e.g., roads and airport runways, are suitably described by “antiparallel” pairs of linear segments. Experimental results on aerial images are presented.
The problem of recognition of objects in images is investigated from the simultaneous viewpoint of image bandwidth compression and automatic target recognition. A hypothetical scenario is suggested in which recognitio...
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The problem of recognition of objects in images is investigated from the simultaneous viewpoint of image bandwidth compression and automatic target recognition. A hypothetical scenario is suggested in which recognition is implemented on features in the block cosine transform domain which is useful for data compression as well. Useful features from this cosine domain are developed based upon correlation parameters and homogeneity measures which appear to discriminate successfully between natural and man-made objects. The Bhattacharyya feature discriminator is used to provide a 10:1 compression of the feature space for implementation of simple statistical decision surfaces (Gaussian classification).
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