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article
 Seeing is Believing: Computer Vision and Artificial Intelligence
One of the monolithic goals of computer vision is to automatically interpret general digital images of arbitrary scenes.
This goal has produced a vast array of research over the last 35 years, yet a solution to this general problem still remains out of reach.
A reason for this is that the problem of visual perception is typically under-constrained.
Information like absolute scale and depth is lost when the scene is projected onto an image plane.
preview:
http://www.acm.org/crossroads/xrds3-1/vision.html
8/15/2002
Tags: machine vision
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