Cogprints

Computation of Smooth Optical Flow in a Feedback Connected Analog Network

Stocker, Alan and Douglas, Rodney (1998) Computation of Smooth Optical Flow in a Feedback Connected Analog Network. [Conference Paper] (In Press)

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Abstract

In 1986, Tanner and Mead \cite{Tanner_Mead86} implemented an interesting constraint satisfaction circuit for global motion sensing in aVLSI. We report here a new and improved aVLSI implementation that provides smooth optical flow as well as global motion in a two dimensional visual field. The computation of optical flow is an ill-posed problem, which expresses itself as the aperture problem. However, the optical flow can be estimated by the use of regularization methods, in which additional constraints are introduced in terms of a global energy functional that must be minimized. We show how the algorithmic constraints of Horn and Schunck \cite{Horn_Schunck81} on computing smooth optical flow can be mapped onto the physical constraints of an equivalent electronic network.

Item Type:Conference Paper
Keywords:energy minimzation, optical flow, intensity constraint, aVLSI, neuromorphic, vision sensor, motion detection, constraint solving, analog network, real-time, collective computatio
Subjects:Neuroscience > Computational Neuroscience
Computer Science > Machine Vision
ID Code:82
Deposited By:Stocker, Dr. Alan
Deposited On:26 Apr 1999
Last Modified:11 Mar 2011 08:53

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