An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications: Advances in Computer Vision and Pattern Recognition
Autor Marco Alexander Treiberen Limba Engleză Paperback – 13 oct 2012
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 321.99 lei 43-57 zile | |
SPRINGER LONDON – 13 oct 2012 | 321.99 lei 43-57 zile | |
Hardback (1) | 327.02 lei 43-57 zile | |
SPRINGER LONDON – 2 aug 2010 | 327.02 lei 43-57 zile |
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Specificații
ISBN-13: 9781447125785
ISBN-10: 1447125789
Pagini: 220
Ilustrații: XVIII, 202 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:2010
Editura: SPRINGER LONDON
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:London, United Kingdom
ISBN-10: 1447125789
Pagini: 220
Ilustrații: XVIII, 202 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:2010
Editura: SPRINGER LONDON
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:London, United Kingdom
Public țintă
Professional/practitionerCuprins
Global Methods.- Transformation-Search Based Methods.- Geometric Correspondence-Based Approaches.- Three-Dimensional Object Recognition.- Flexible Shape Matching.- Interest Point Detection and Region Descriptors.- Summary.
Textul de pe ultima copertă
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:
Marco Treiber is a software developer at ASM Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.
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)
Marco Treiber is a software developer at ASM Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.
Caracteristici
Provides an easy-to-follow introduction to the field of object recognition Covers a broad spectrum of applications Describes the flow of each algorithm in detail for each method, including graphical illustrations Contains numerous examples, including some examples taken from commercial products