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001 978-1-84996-235-3
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008 100722s2010 xxk| s |||| 0|eng d
020 _a9781849962353
_9978-1-84996-235-3
024 7 _a10.1007/978-1-84996-235-3
_2doi
050 4 _aTA1637-1638
050 4 _aTA1637-1638
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
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072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
100 1 _aTreiber, Marco Alexander.
_eauthor.
245 1 3 _aAn Introduction to Object Recognition
_h[electronic resource] :
_bSelected Algorithms for a Wide Variety of Applications /
_cby Marco Alexander Treiber.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2010.
300 _aXVIII, 202 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Pattern Recognition,
_x2191-6586
505 0 _aGlobal Methods -- Transformation-Search Based Methods -- Geometric Correspondence-Based Approaches -- Three-Dimensional Object Recognition -- Flexible Shape Matching -- Interest Point Detection and Region Descriptors -- Summary.
520 _aRapid 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 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.
650 0 _aComputer science.
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aPattern Recognition.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781849962346
830 0 _aAdvances in Pattern Recognition,
_x2191-6586
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-84996-235-3
912 _aZDB-2-SCS
999 _c110995
_d110995