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This paper deals with a perceptron-type element in which variable weights change automatically following a certain rule of growth. An analysis of its dynamic behavior is described together with some simulation results.The element is a summing device. Its output y(t) is a weighted sum of its inputs xi(t),i=The inputs xi(t) are assumed to be zero-mean signals, but not restricted to binary signals. Changes in the weights wi(t) are described by the differential equations A detailed investigation of the solutions of the above equation shows that the element has a strong tendency to separate its inputs into a family of principal components and to pick out the greatest component as its outpat. This property enables it to perform a variety of types of information processing such as factor analysis, signal filtering, pattern dichotomy, majority decision logic and memory.

A new type of two-dimensional random field model, named the two-dimensional auto-regressive model, is introduced for stochastic repre

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In this paper, we examine the two plane camera calibration model in terms of perspective mapping, and present a new effective camera calibration method by taking the advantage of the conventional method and modifying it based on the exact perspective imaging.It also takes the advantage that each of intrinsic and extrinsic camera parameters can be obtained by solving linear equations only. So that the solutions will be provided uniquely and stably under some conditions, and which can be definitely specified.In our method a priori knowledge on camera intrinsic parameters is only physical pixel sizes. Exact focal length of the lens, the position of image center or optical center, and the camera pose are unknown and to be calibrated. This is a practical assumption for common commercial TV camera systems.For the cases where non-linear lens distortions must be taken into account, our method can be extended and their parameters are calibrated also using only linear solutions. It is shown that higher performance and accurate calibration can be achieved by this method theoretically and experimentally.