توضیحات
Human Perception of Visual Information showcases complementary perspectives from psychology and machine learning on high-level perception of images and videos. It is an interdisciplinary volume that brings together experts from psychology and machine learning in an attempt to bring these two, at a first glance, different fields, into conversation, while at the same time providing an overview of the state of the art in both fields.
Human Perception of Visual Information contains 10 chapters arranged in 5 pairs, with each pair describing state-of-the-art psychological and computational approaches to describing and modelling a specific subjective perceptual phenomenon. In Chap 1 of Human Perception of Visual Information, Lauer and Võ review recent studies that use diverse methodologies like psychophysics, eye tracking, and neurophysiology to help better capture human efficiency in real-world scene and object perception. The chapter focuses in particular on which contextual information humans take advantage of most and when.
هنوز دیدگاهی برای این محصول ثبت نشده است.