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)
difference Abstract. A phase-difference-based algorithm for disparity and optical flow estimation is implemented on a TI-C40-based parallel DSP system. The module performs real-time computation of disparity maps on images of size 128 x 128 pixels and computation of optical flows on images of size 64 x 64 pixels. This paper describes the algorithm and its(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)
The biomedical environment is one of the most recent and interesting application fields for CMOS image sensors. Low power consumption, high sensitivity and a simple interface are the main required features; nevertheless high dynamic range can be considered one of the more interesting and less investigated aspects. High Dynamic range is one of the main(More)