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Books > Computing & IT > Applications of computing > Image processing
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An Introduction to Object Recognition - Selected Algorithms for a Wide Variety of Applications (Hardcover, 2010 Ed.)
Loot Price: R1,523
Discovery Miles 15 230
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An Introduction to Object Recognition - Selected Algorithms for a Wide Variety of Applications (Hardcover, 2010 Ed.)
Series: Advances in Computer Vision and Pattern Recognition
Expected to ship within 10 - 15 working days
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Rapid development of computer hardware has enabled usage of
automatic object recognition in an increasing number of
applications, ranging from industrial image processing to medical
applications, as well as tasks triggered by the widespread use of
the internet. Each area of application has its specific
requirements, and consequently these cannot all be tackled
appropriately by a single, general-purpose algorithm. This
easy-to-read text/reference provides a comprehensive introduction
to the field of object recognition (OR). The book presents an
overview of the diverse applications for OR and highlights
important algorithm classes, presenting representative example
algorithms for each class. The presentation of each algorithm
describes the basic algorithm flow in detail, complete with
graphical illustrations. Pseudocode implementations are also
included for many of the methods, and definitions are supplied for
terms which may be unfamiliar to the novice reader. Supporting a
clear and intuitive tutorial style, the usage of mathematics is
kept to a minimum. Topics and features: presents example algorithms
covering global approaches, transformation-search-based methods,
geometrical model driven methods, 3D object recognition schemes,
flexible contour fitting algorithms, and descriptor-based methods;
explores each method in its entirety, rather than focusing on
individual steps in isolation, with a detailed description of the
flow of each algorithm, including graphical illustrations; explains
the important concepts at length in a simple-to-understand style,
with a minimum usage of mathematics; discusses a broad spectrum of
applications, including some examples from commercial products;
contains appendices discussing topics related to OR and widely used
in the algorithms, (but not at the core of the methods described in
the chapters). Practitioners of industrial image processing will
find this simple introduction and overview to OR a valuable
reference, as will graduate students in computer vision courses.
Marco Treiber is a software developer at Siemens Electronics
Assembly Systems, Munich, Germany, where he is Technical Lead in
Image Processing for the Vision System of SiPlace placement
machines, used in SMT assembly.
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