1992 | OriginalPaper | Chapter
Active Vision Through Prediction-Error Minimization
Author : Ernst D. Dickmanns
Published in: Active Perception and Robot Vision
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Motion vision and pictorial vision are considered to be fairly separate abilities. In the development of biological species on our planet, motion vision is assumed to be phylogenetically older. Also in the development of human infants, motion vision precedes the capability of pictorial vision as psychologists have found out [Yonas 83]. In computer vision, the development went in the opposite direction. The study of static scenes was the starting point for most of the research into vision. This may be attributable to the fact that the interpretation of a static image seems to be easier than dealing with motion. However, when the task is motion understanding the best starting point probably is not the platform developed for static image processing but a basically different one taking a fresh unbiased view on the different type of problem.