Images are collected by a commercial camera at the rate of millions of pixel per second. Most of the data collected is useless, and the small amount of profitable data must be extracted from this cumbersome set. Conventional computers are unable to manage this selection problem. Several proposals were put towards specializing computer vision systems so that they effectively identify regions and events of interest in a manner analogous to human vision systems.
The attention mechanism in humans effectively operates by directing (the fovea retina part with greater acuity) to just the most useful areas to accomplish the task at hand.
Multi-resolution representation have been developed as one of the possible method for emulating the focus of attention strategy typical of biological systems.
A new approach for object recognition has been implemented based on the multi-resolution paradigm.