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Abstract:
We describe the design, fabrication and test results of an
analog CMOS VLSI neural network prototype chip intended for
phase-based computer vision algorithms. The chip implements an
image filtering operation similar to Gabor-filtering. Because a
Gabor filter's output is complex valued, it can be used to define a
phase at every pixel in an image. This phase can be used in robust
algorithms for disparity estimation and binocular stereo vergence
control in stereo vision and for image motion analysis. The chip
reported here takes an input image and generates two outputs at
every pixel, corresponding to the real and imaginary parts of the
output.
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