The growing eye: an autofocus system that works on very poor images

The growing eye: an autofocus system that works on very poor images

It is unknown which retinal image features are analyzed to control axial eye growth and refractive development. On the other hand, identification of these features is fundamental for the understanding of visually acquired refractive errors. Cyclopleged chicks were individually kept in the center of a drum with only one viewing distance possible. Defocusing spectacle lenses were used to stimulat...

A Connectionist Expert System that Actually Works

The Space Environment Laboratory in Boulder has collaborated with the University of Colorado to construct a small expert system for solar flare forecasting, called THEa. It performed as well as a skilled human forecaster. We have constructed TheoNet, a three-layer back-propagation connectionist network that learns to forecast flares as well as THEa does. TheoNet's success suggests that a connec...

A Teacher Evaluation System That Works

Status quo approaches to teacher evaluation have recently come under increasing criticism. They typically assign most teachers the highest available score, provide minimal feedback for improvement, and have little connection with student achievement growth and the quality of instruction that leads to higher student growth. A more comprehensive approach has been demonstrated for ten years by TAP...

High Speed Autofocus for Microscopic Images

2 Computational Theory The processing of biological specimens or the 2.1 Overview examination of material surfaces for quality control requires a fast and precise autofocus system. In order to process several fields of view per second, a high speed autofocus was developed and integrated in an ASIC-chip. The system is able to process a specimen without any supervision. The system operates on the...

What Works: Serving the Poor, Profitably