Artificial Vision: Image Description, Recognition, and Communication / Edition 1by Stefano Levialdi
Pub. Date: 10/28/1996
Publisher: Elsevier Science
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… See more details below
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.
• 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.
Table of Contents
Preface. Part I: Active Vision: V. Cantoni, G. Caputo, and L. Lombardi, Attentional Engagement in Vision Systems. Y. Yeshurun, Attentional Mechanisms in Computer Vision. M. Savini, The Active Vision Idea. E. Trucco, Active Model Acquisition and Sensor Planning. A. Verri, The Regularization of Early Vision. Part II: Integrating Visual Modules: M. Bertolotto, E. Bruzzone, and L. DeFloriani, Geometric Modeling and Spatial Reasoning.V. Roberto, Vision as Uncertain Knowledge. V. Di Gesu and D. Tegolo, Distributed Systems for Fusion of Visual Infomation. E. Ardizzone, A. Chella, and S. Gaglio, Hybrid Computation and Reasoning for Artificial Vision. Part III: VisualCommunication: A.M. Iacono, Illusion and Difference. S. Levialdi, P. Mussio, N. Bianchi, and P. Bottoni, Computing with/on Images. A. Del Bimbo, Visual Databases. S-K. Chang, Visual Languages for Tele-Action Objects. Subject Index.
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