Output details
11 - Computer Science and Informatics
Queen Mary University of London
Generating customised experimental stimuli for visual search using Genetic Algorithms shows evidence for a continuum of search efficiency.
<23>We report the first application of artificial intelligence in creating custom experimental visual stimuli for use by the vision research community. The technique creates texton elements for spatial popout experiments with prescribed differences in visual saliency, allowing a prediction of human observer task performance and showing there exists a continuum of such texton pairs so arguing against the widely postulated separate parallel and serial search. This work was reported on news websites worldwide e.g. http://insciences.org/article.php?article_id=2392 and formed a research theme within the successful £5.7Million interdisciplinary inter site CHI+MED programme grant EP/G059063/1 2009.