Integrating the modules of early vision, such as color, motion, texture, and stereo, is necessary to make a machine see. Parallel machines offer an opportunity to realize existing modules in a near real-time system;th...
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An approach to finding the solution equations for simple manipulators is described which enhances the well known method of Paul, Renaud, and Stevenson, by explicitly making use of known decouplings in the manipulator ...
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This paper describes an interactive software that manages objects and routines. It provides a workbench for implementing and testing image processing algorithms. A user can program his own routines and insert them int...
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In this paper we present new methods for computer-based symmetry identification that combine elements of group theory and pattern recognition. Detection of symmetry has diverse applications including: the reduction of...
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A fully-engineered real-time (15 object per second) optical Fourier transform feature space processor for product inspection is described. This unit is presently undergoing evaluation at several sites. This paper disc...
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Hough transform is an effective method for the detection of the shape of object boundaries in image pattern analysis. Since the Hough transform is very computation intensive, it is essential to parallelize the computa...
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Adaptive image processing schemes can be classified as open-loop, input sensing, invariant-expectation, and model reference systems. Two major adaptive image processing system mechanisms, processing status measurement...
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A new and efficient real time technique to produce a string code description of the contour of an object, such as an (angle, length) = (φ, s) feature space for the arcs describing the contour, is detailed. We demonst...
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The focus of this article is the presentation of the issues involved in the design of a system able to automatically or semi-automatically construct a global, world-centered model of an industrial scene. In a robotic ...
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We have developed a methodology for manually training autonomous control systems based on artificial neural systems (ANS). In applications where the rule set governing an expert's decisions is difficult to formula...
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