A Fast Joint Bioinspired Algorithm for Optic Flow and Two-Dimensional Disparity Estimation

Authors:
Manuela Chessa;Silvio P. Sabatini;Fabio Solari
Affiliations:
Department of Biophysical and Electronic Engineering, University of Genoa, Genova, Italy 16145;Department of Biophysical and Electronic Engineering, University of Genoa, Genova, Italy 16145;Department of Biophysical and Electronic Engineering, University of Genoa, Genova, Italy 16145
Venue:
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Year:
2009

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Abstract

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 computational resources to solve the stereo and the motion problems, produces fast and reliable estimates of optic flow and 2D disparity. The specific joint design approach allows us to obtain high performance at an affordable computational cost. The approach is validated with respect to the state-of-the-art algorithms and in real-world situations.