Accession Number : ADA195930

Title :   The Computational Study of Vision.

Descriptive Note : Memorandum rept.,

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s) : Hildrith, Ellen C ; Ullman, Shimon

PDF Url : ADA195930

Report Date : Apr 1988

Pagination or Media Count : 52

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)

Descriptors :   *VISUAL PERCEPTION, *MATHEMATICAL MODELS, COMPUTATIONS, COMPUTERS, DETECTION, EDGES, FOCUSING, INFORMATION PROCESSING, MOTION, OPTICAL IMAGES, PATTERN RECOGNITION, SPACE PERCEPTION, SURFACES, TEXTURE, VISION

Subject Categories : Cybernetics
      Anatomy and Physiology

Distribution Statement : APPROVED FOR PUBLIC RELEASE