000 03984nam a22003735i 4500
001 290944
003 MX-SnUAN
005 20170705134222.0
007 cr nn 008mamaa
008 150903s2010 xxk| o |||| 0|eng d
020 _a9781849962353
_99781849962353
024 7 _a10.1007/9781849962353
_2doi
035 _avtls000344666
039 9 _a201509030404
_bVLOAD
_c201405050310
_dVLOAD
_y201402061303
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA1637-1638
100 1 _aTreiber, Marco Alexander.
_eautor
_9315981
245 1 3 _aAn Introduction to Object Recognition :
_bSelected Algorithms for a Wide Variety of Applications /
_cby Marco Alexander Treiber.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2010.
300 _axviii, 202 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Pattern Recognition,
_x2191-6586
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781849962346
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-235-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c290944
_d290944