By Bernd Jahne, Horst Haussecker, Peter Geissler
The guide of laptop imaginative and prescient and purposes, Three-Volume Set is on one of many "hottest" topics in trendy intersection of utilized Physics, laptop technological know-how, electric Engineering, and utilized Mathematics.The strong point of this set is that it's very applications-oriented. Examples of functions in numerous fields of contemporary technology are fairly emphasised. moreover, a CD-ROM is integrated with all the 3 volumes. Key gains* provides an interdisciplinary method of the fundamentals and the state of the art of machine imaginative and prescient, written in a manner that's comprehensible for a extensive viewers* Covers glossy options in machine imaginative and prescient and smooth advancements of technical imaging sensors* Bridges the distance among conception and functional functions* gains the complete textual content of the guide on CD-ROM with links for speedy looking and perusing* features a wealthy number of extra fabric at the CD-ROM: reference fabric, interactive software program parts, code examples, photo fabric, and references to assets on the web
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Extra resources for Handbook of Computer Vision and Applications, V3
2 Field programmable gate arrays (FPGAs) . . . . . . . 1 Architectures of field programmable gate arrays . . 2 Computing power . . . . . . . . . . . . 12 FPGA-based image processing systems . . . . . . . . 1 General architecture of FPGA coprocessors . . . . 2 Example system: the microEnable . . . . . . . 3 Device driver and application interface library . . . 4 Hardware applets . . . . . . . . . . . . 5 Modes of operation . . . . . .
Com xxxvi Contributors Dietrich Paulus received a bachelor degree in computer science at the University of Western Ontario, London, Canada (1983). He graduated (1987) and received his PhD degree (1991) from the University of ErlangenNürnberg, Germany. He is currently a senior researcher (Akademischer Rat) in the field of image pattern recognition and teaches courses in computer vision and applied programming for image processing. Together with J. Hornegger, he has recently written a book on pattern recognition and image processing in C++.
This trend will only be accelerated in the near future by the addition of multimedia instruction sets, which make PCs more suitable for the processing of pixel data (Chapter 3). Intelligent cameras. Rather simple tasks can be performed by so-called intelligent cameras. The camera includes the entire hardware to process the acquired images in a standalone system. Examples of applications with such systems are discussed in Chapter 13. Configurable hardware. Field programmable gate arrays have acquired enough computing power to be suitable for sophisticated image processing (Chapter 2).