With contributions from Tomás LozanoPérez and Daniel P. Huttenlocher.An intelligent system must know what the objects are and where they are in its environment. Examples of this ubiquitous problem in computer vision arise in tasks involving hand-eye coordination (such as assembling or sorting), inspection tasks, gauging operations, and in navigation and localization of mobile robots. This book describes an extended series of experiments into the role of geometry in the critical area of object recognition.
The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in
This collection of essays by 12 members of the MIT staff, provides an inside report on the scope and expectations of current research in one of the world's major AI centers. The chapters on artificial intelligence, expert systems, vision, robotics, and natural language provide both a broad overview of current areas of activity and an assessment of the field at a time of great public interest and rapid technological progress.Contents: Artificial Intelligence (Patrick H. Winston and Karen Prendergast). KnowledgeBased Systems (Randall Davis).