Overview
- Editors:
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Walter G. Kropatsch
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Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Vienna, Austria
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Horst Bischof
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Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Vienna, Austria
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Table of contents (22 chapters)
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Information Fusion and Radiometric Models for Image Understanding
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Front Matter
Pages 281-281
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- Jean-Philippe Andreu, Hermann Borotschnig, Harald Ganster, Lucas Paletta, Axel Pinz, Manfred Prantl
Pages 285-335
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- Joachim Steinwendner, Werner Schneider, Renate Bartl
Pages 337-357
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Back Matter
Pages 359-366
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3D Reconstruction
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Front Matter
Pages 367-367
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- Franz Rottensteiner, Gerhard Paar, Wolfgang Pölzleitner
Pages 373-391
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- Gerhard Paar, Franz Rottensteiner, Wolfgang Pölzleitner
Pages 393-410
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- Gerhard Paar, Wolfgang Pölzleitner
Pages 439-464
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- Heribert Kahmen, Anton Niessner, Andrea de Seixas
Pages 465-487
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Back Matter
Pages 489-498
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Back Matter
Pages 499-505
About this book
The human visual system as a functional unit including the eyes, the nervous system, and the corresponding parts of the brain certainly ranks among the most important means of human information processing. The e?ciency of the biological systems is beyond the capabilities of today’s technical systems, even with the fastest available computer systems. However, there are areas of application where digital image analysis systems produce acceptable results. Systems in these areas solve very specialized tasks, they operate in a limited environment, and high speed is often not necessary. Several factors determine the economical application of technical vision systems: cost, speed, ?exibility, robu- ness, functionality, and integration with other system components. Many of the recent developments in digital image processing and pattern recognition show some of the required achievements. Computer vision enhances the capabilities of computer systems • in autonomously collecting large amounts of data, • in extracting relevant information, • in perceiving its environment, and • in automatic or semiautomatic operation in this environment. The development of computer systems in general shows a steadily increasing need in computational power, which comes with decreasing hardware costs.