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An introduction to object recognition : (notice n° 1704)

000 -LEADER
fixed length control field 03109nam a2200277 u 4500
001 - CONTROL NUMBER
control field UNI0000356
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20161122153705.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130702s2010 XX eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1849962340 (hardcover) ($129.00)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781849962346 (hardcover)
040 ## - CATALOGING SOURCE
Original cataloging agency DCLC
040 ## - CATALOGING SOURCE
Modifying agency IMIST
Description conventions AFNOR
041 1# - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Treiber, Marco Alexander.
245 #0 - TITLE STATEMENT
Title An introduction to object recognition :
Remainder of title selected algorithms for a wide variety of applications
Statement of responsibility, etc Marco Alexander Trei
250 ## - EDITION STATEMENT
Edition statement 2010th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc [S.l.]
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2010.
300 ## - PHYSICAL DESCRIPTION
Extent 220 p.
Dimensions 24 cm.
490 1# - SERIES STATEMENT
Series statement Advances in computer vision and pattern recognition.
500 ## - GENERAL NOTE
General note 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical pattern recognition
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern recognition systems
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        La bibliothèque des sciences de l'ingénieur La bibliothèque des sciences de l'ingénieur   20616   006.37 TRE 0000000019158 11/22/2016 11/22/2016 Livre
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