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We describe the design and performance characterization of a biomimetic active stereo vision system. Our key design objectives were to provide torsional control for each eye and to ensure that the vision system to execute saccade-like movements at the same time scales observed in humans. In total, the system has six degrees of freedom: horizontal, vertical(More)
  • B.E. Shi
  • 2004 IEEE International Joint Conference on…
  • 2004
We describe a neuromorphic approach to implementing model visual cortical neurons using a four-layer cellular neural network (CNN) chips. A key challenge is that visual cortical neurons are simultaneously selective along many stimulus dimensions, including retinal position, spatial frequency, orientation, temporal frequency, direction of motion, and(More)
  • B.E. Shi, Tao Luo
  • IEEE Transactions on Circuits and Systems I…
  • 2004
Reaction-diffusion dynamics have been proposed to explain pattern-formation behavior in a variety of systems, e.g., chemical and biological. This paper describes a cellular neural network chip that exhibits spatially organized patterns of activity, which are formed by reaction diffusion. The chip contains four 32/spl times/32 cell arrays of transistors(More)
We briefly describe a demonstration of an active stereo vision system with gaze and vergence control driven by models of the disparity selective neurons in the mammalian visual cortex. The hardware consists of a stereo camera mounted on a pan-tilt head and three multimap boards. The multimap boards compute multiple cortical maps responding to target(More)
  • B.E. Shi
  • 2006 10th International Workshop on Cellular…
  • 2006
We describe a technique by which the steady state solution of some CNN template operations can be approximated in a few passes over the input image. For digital implementations, this is much more efficient than numerical integration of the CNN differential equations. In particular, we show that the steady state solution to linear 1D CNN filtering operations(More)
We describe a salient point detection model that incorporates recent findings about the response properties of neurons in cortical area V2. It has been reported that certain V2 neurons encode combinations of orientations. The model reported here integrates this finding as the last stage of a hierarchical architecture modeled after the visual processing in(More)
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