Virginio Cantoni's Books

Image Analysis and Processing

By: Virginio Cantoni,G. Musso

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For the third time the Italian Group on Pattern Recogni tion has organized an International Conference on Image Analysis and Processing (lAP) gathering together the most active groups working in this area in our country. The first International Conference lAP was held in Pavia (1980) and the second one in Selva di Fasano (1982). A selected set of distinguished speakers has been invited to talk about their personal experience and views on industrial applications (H Freeman), the critical analysis of medical image processing (D Rutovitz), the advances of robot vision languages (M Silva) and the availability of AI technology for imI?roving the performance of PR and IP programs (J M Chassery). Four different areas have been covered by the papers submitted and refereed) to the conference first and to a scientific committee next, namely IP Techniques, Multiprocessor Architectures, Robot Vision and IP Applications. A final paper giving the results of a census of the Italian groups is provided showing, with some detail, typical research lines as pursued in working groups both at the University and Industry. About 39 groups are presently active in 12 different places of the peninsula.

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Page Count

267

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461322391

ISBN 13

9781461322399

3C Vision

Cues, Context and Channels

By: Virginio Cantoni,Stefano Levialdi,Bertrand Zavidovique

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3C Vision

Cues, Context and Channels

By: Virginio Cantoni,Stefano Levialdi,Bertrand Zavidovique

The exponential explosion of images and videos concerns everybody's common life, since this media is now present everywhere and in all human activities. Scientists, artists and engineers, in any field, need to be aware of the basic mechanisms that allow them to understand how images are essentially information carriers. Images bear a strong evocative power because their perception quickly brings into mind a number of related pictorial contents of past experiences and even of abstract concepts like pleasure, attraction or aversion.This book analyzes the visual hints, thanks to which images are generally interpreted, processed and exploited both by humans and computer programs. - Comprehensive introductory text - Introduces the reader to the large world of imagery on which many human activities are based, from politics to entertainment, from technical reports to artistic creations - Provides a unified framework where both biological and artificial vision are discussed through visual cues, through the role of contexts and the available multi-channels to deliver information

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Page Count

254

Publisher

Elsevier

Published Date

ISBN 10

0123852218

ISBN 13

9780123852212

Pyramidal Architectures for Computer Vision

By: Virginio Cantoni,Marco Ferretti

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Pyramidal Architectures for Computer Vision

By: Virginio Cantoni,Marco Ferretti

Computer vision deals with the problem of manipulating information contained in large quantities of sensory data, where raw data emerge from the transducing 6 7 sensors at rates between 10 to 10 pixels per second. Conventional general purpose computers are unable to achieve the computation rates required to op erate in real time or even in near real time, so massively parallel systems have been used since their conception in this important practical application area. The development of massively parallel computers was initially character ized by efforts to reach a speedup factor equal to the number of processing elements (linear scaling assumption). This behavior pattern can nearly be achieved only when there is a perfect match between the computational struc ture or data structure and the system architecture. The theory of hierarchical modular systems (HMSs) has shown that even a small number of hierarchical levels can sizably increase the effectiveness of very large systems. In fact, in the last decade several hierarchical architectures that support capabilities which can overcome performances gained with the assumption of linear scaling have been proposed. Of these architectures, the most commonly considered in com puter vision is the one based on a very large number of processing elements (PEs) embedded in a pyramidal structure. Pyramidal architectures supply the same image at different resolution lev els, thus ensuring the use of the most appropriate resolution for the operation, task, and image at hand.

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