In this work, we describe a frequency domain technique for the estimation of multiple superimposed motions in an image sequence. The least-squares optimum approach involves the computation of the three-dimensional (3-D) Fourier transform of the sequence, followed by the detection of one or more planes in this domain with high energy concentration. We present a more efficient algorithm, based on...

This study demonstrates how phototransduction cascades and membranes tune photoreceptor response dynamics to image quality, and eliminate noise introduced in cell signalling. Intracellular recordings from intact retina confirm that the light-adapted photoreceptors of the crane fly Tipula paludosa (Diptera; Tipulidae) have a slow response, appropriate for their visual ecology. To provide a slow ...

ABSTRACT We develop a method for planet detection in transit data, which is based on the matched filter technique, combined with Gaussianization of noise outliers. The Fourier transforms and as fast existing methods searches. Gaussianized (GMF) significantly outperforms standard baseline terms false positive rate, enabling detections at up to 30 per cent lower amplitudes. Moreover, extracts all...

Deep neural networks (DNNs) and especially convolutional (CNNs) have revolutionized the way we approach analysis of large quantities data. However, largely ad hoc fashion their development, albeit one reason for rapid success, has also brought to light intrinsic limitations CNNs—in particular, those related black box nature. In addition, ability “explain” both such systems behave results they p...