Tracking and data association
Prediction and cooperation in gaze control
Biological Cybernetics
A lifting technique for linear periodic systems with applications to sampled-data control
Systems & Control Letters
Real-time smooth pursuit tracking
Active vision
Active vision
Active vision
Promising directions in active vision
International Journal of Computer Vision
Real-time binocular smooth pursuit
International Journal of Computer Vision
Active vision for reliable ranging: cooperating focus, stereo, and vergence
International Journal of Computer Vision
TRICLOPS: a tool for studying active vision
International Journal of Computer Vision - Special issue on active vision II
Driving saccade to pursuit using image motion
International Journal of Computer Vision
Mixed discrete/continuous specifications in sampled-data H2-optimal control
Automatica (Journal of IFAC)
Computer Vision and Image Understanding
Computer Vision and Image Understanding
A review of log-polar imaging for visual perception in robotics
Robotics and Autonomous Systems
Proceedings of the international conference on Multimedia
Local single-patch features for pose estimation using the log-polar transform
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
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Several characteristics of the human oculomotor system have been suggested to be useful also for active vision mechanisms. Among others, foveal vision and a tracking scheme based on two different modes, called smooth pursuit and saccade have often been postulated or implemented. The purpose of this paper is to formulate a setup in which the benefit of implementing these schemes can be evaluated in a systematic manner, based on control considerations but incorporating image processing constraints. First, the advantage of using foveal vision is evaluated by computing the size of the foveal window which will allow tracking of the largest possible class of signals. By using linear optimal control theory, this problem can be formulated as a one-variable maximization.Second, foveal vision leads naturally to smooth pursuit, defined as the performance that can be achieved by the controller resulting in the optimal size of the foveal window. This controller is relatively simple (i.e., linear, time-invariant) as is to be expected for this control loop.Finally, when smooth pursuit fails a corrective action must be performed to re-center the target on the fovea. Recent results in linear optimal control, provide the necessary tools for addressing this challenging problem in a systematic manner.