Bruno Crespi

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We c haracterize the performances of phase-based disparity estimators, giving quantitative measures of their precision and their limits, and how changes in contrast, imbalance, and noise modify the attainable accuracy. A rst result is that the theoretical range of measurable disparities (one period of the modulation of the lter) is not attainable: the(More)
The analog implementation of a phase-based technique for disparity estimation is discussed. This technique is based on the convolution of images with Gabor filters. The article shows that by replacing the Gaussian envelope with other envelopes, the convolution operation is equivalent to the solution of a system of differential equations, whose order is(More)
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