Artificial Vision: Image Description, Recognition, and Communication (Signal Processing and its Applications) [Hardcover]

Stefano Levialdi (Editor), Virginio Cantoni (Editor), Vito Roberto (Editor), Edward J. Powers (Series Editor), Doug Gray (Series Editor), Richard C. Green (Series Editor)

Book Description

ISBN-10: 012444816X | ISBN-13: 978-0124448162 | Publication Date: October 15, 1996 | Edition: 1

Artificial Vision is a rapidly growing discipline, aiming to build computational models of the visual functionalities in humans, as well as machines that emulate them. Visual communication in itself involves a numberof challenging topics with a dramatic impact on contemporary culture where human-computer interaction and human dialogue play a more and more significant role.
This state-of-the-art book brings together carefully selected review articles from world renowned researchers at the forefront of this exciting area. The contributions cover topics including image processing, computational geometry, optics, pattern recognition, and computer science. The book is divided into three sections. Part I covers active vision; Part II deals with the integration of visual with cognitive capabilities; and Part III concerns visual communication.
Artificial Vision will be essential reading for students and researchers in image processing, vision, and computer science who want to grasp the current concepts and future directions of this challenging field.

Key Features
* This state-of-the-art book brings together selected review articles and accounts of current projects from world-renowned researchers at the forefront of this exciting area; The contributions cover topics such as:
* psychology of perception
* image processing
* computational geometry
* visual knowledge representation and languages
* It is this truly multi-disciplinary approach that has produced successful theories and applications for the subject.

Editorial Reviews

From the Back Cover

Artificial vision is a rapidly growing discipline, aiming to build computational models of the visual capabilites in humans, as well as the machines that emulate them. Recent research work suggests that vision is a complex functionality, involving active sensing and attentional mechanisms, and is strictly related to cognitive processes like learning, reasoning and communicating. Visual communication in itself has a dramatic impact on contemporary culture, where human-computer interaction and human dialogue via computers play a more and more significant role.

ARTIFICIAL VISION is a book which will be essential reading for students and researchers in applied computer science, pattern recognition, artificial intelligence and vision, who want to grasp the concepts and directions of this challenging field.

About the Author

Stefano Levialdi, Full Professor of Computer Science at Rome University, Italy, is the Director of the Pictorial Computing Laboratory.

Virginio Cantoni received the Laurea (cum laude) in Electronic Engineering in 1972 from Pavia University, Italy. He was a researcher of the Italian National Research Council from 1975 to 1983, and is presently a Full Professor of Computer Programming at Pavia University. From 1989 to 1995 Cantoni was Director of the Deparment of Computer Engineering, and from 1985 to 1990, he was the President of the Italian Group of the International Association for Pattern Recognition. He has been a Visiting Professor at Rutgers University, and has been Invited Professor at the Paris XI University. Levialdi is a Fellow of the IAPR and a senior member of IEEE.

Vito Roberto is Associated Professor at the Computer Science Faculty, University of Udine, Italy.

Product Details

• Hardcover: 306 pages
• Publisher: Academic Press; 1 edition (October 15, 1996)
• Language: English
• ISBN-10: 012444816X
• ISBN-13: 978-0124448162
• Product Dimensions: 9.2 x 6.2 x 0.7 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #3,574,797 in Books (See Top 100 in Books)
  • #60 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Computer Vision