CHESSA , Manuela

Sviluppo di un simulatore del modello spazio variante di acquisizione di immagini "Log-polar Blind Spot Model" presentato nel lavoro in conferenza di M. Chessa, S.P. Sabatini, F. Solari, F. Tatti dal titolo "A Quantitative Comparison of Speed and Reliability for Log-Polar Mapping Techniques". Tale simulatore (realizzato da M. Chessa e F....

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We propose two different strategies to compute edges in the log-polar (cortical) domain. The space-variant processing is obtained by applying local operators (e.g. local derivative filters) directly on the logpolar images, or by embedding the same operators into the log-polar mapping, thus obtaining a cortical representation of the Cartesian...

A neural feed-forward model composed of two layers that mimic the V1-MT primary motion pathway, derived from previous works by Heeger and Simoncelli. Reference: Solari F, Chessa M, Medathati NVK, Kornprobst P (2015) What can we expect from a V1-MT feedforward architecture for optical flow estimation? Signal Processing: Image Communication

The spread of graphics processing unit (GPU) computing paved the way to the possibility of reaching high-computing performances in the simulation of complex biological systems. In this work, we develop a very efficient GPU-accelerated neural library, which can be employed in real-world contexts. Such a library provides the neural...

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The app has been developed for the Milestones of yacht design: Renato "Sonny" Levi exhibition in conjunction with "Salone Nautico 2016" in Genova 2016. The app allow the visitors to see in 3D Sonny Levi's work.

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The faithful detection of the motion and of the distance of the objects in the visual scene is a desirable feature of any artificial vision system designed to operate in unknown environments characterized by conditions variable in time in an often unpredictable way. Here, we propose a distributed neuromorphic architecture, that, by sharing the...

An original framework to recover the first-order spatial description of the optic flow is proposed. The approach is based on recursive filtering, and uses a set of linear models that dynamically adjust their properties on the basis of context information. These models are inspired by the experimental evidence about motion analysis in biological...

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