title: Computation of Smooth Optical Flow in a Feedback Connected Analog Network
creator: Stocker, Alan
creator: Douglas, Rodney
subject: Computational Neuroscience
subject: Machine Vision
description: 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.
publisher: MIT Press, Cambridge
date: 1998
type: Conference Paper
type: NonPeerReviewed
format: application/postscript
identifier: http://cogprints.org/82/1/nips98.ps
format: application/pdf
identifier: http://cogprints.org/82/5/nips98.pdf
identifier:   Stocker, Alan and Douglas, Rodney  (1998) Computation of Smooth Optical Flow in a Feedback Connected Analog Network.  [Conference Paper]    (In Press)  
relation: http://cogprints.org/82/