The Computational Study of Vision.
Abstract
Through vision, we derive a rich understanding of what is in the world, where objects are located, and how they are changing with time. Because we obtain this understanding immediately, effortlessly, and without conscious introspection, we can be deceived into thinking that vision should therefore be a fairly simple task to perform. The computational approach to the study of vision inquires directly into the sort of information processing needed to extract important information from the changing visual image - information such as the three-dimensional (3-D) structure and movement of objects in the scene, or the color and texture of object surfaces. An important contribution that computational studies have made is to show how difficult vision is to perform, and how complex are the processes needed to perform visual tasks successfully. This article reviews some computational studies of vision, focusing on edge detection, binocular stereo, motion analysis, intermediate vision and object recognition. Keywords: Computer vision; Vision; Binocular stereo vision; Motion analysis; Object recognition; Pattern recognition. (KT)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1988
- Accession Number
- ADA195930
Entities
People
- Ellen C. Hildrith
- Shimon Ullman
Organizations
- Massachusetts Institute of Technology