Object Recognition: Fundamentals and Case Studies: Advances in Computer Vision and Pattern Recognition
Autor M. Bennamoun, G.J. Mamicen Limba Engleză Paperback – 16 noi 2012
Din seria Advances in Computer Vision and Pattern Recognition
- 20%
Preț: 959.58 lei - 20%
Preț: 630.46 lei - 20%
Preț: 746.30 lei - 20%
Preț: 360.26 lei - 20%
Preț: 636.01 lei - 20%
Preț: 1040.67 lei - 20%
Preț: 621.81 lei - 20%
Preț: 955.00 lei - 20%
Preț: 619.76 lei - 20%
Preț: 629.35 lei - 20%
Preț: 1129.20 lei - 20%
Preț: 630.57 lei - 20%
Preț: 621.81 lei - 20%
Preț: 641.25 lei - 20%
Preț: 793.78 lei - 20%
Preț: 730.70 lei - 20%
Preț: 637.55 lei - 20%
Preț: 323.68 lei - 20%
Preț: 630.68 lei - 20%
Preț: 626.25 lei - 20%
Preț: 960.53 lei - 20%
Preț: 318.30 lei - 20%
Preț: 643.60 lei - 20%
Preț: 630.78 lei - 20%
Preț: 622.59 lei - 20%
Preț: 1580.06 lei - 20%
Preț: 952.94 lei - 20%
Preț: 1019.20 lei - 20%
Preț: 956.22 lei - 20%
Preț: 618.83 lei - 20%
Preț: 884.59 lei - 20%
Preț: 630.36 lei - 18%
Preț: 913.62 lei - 20%
Preț: 957.69 lei - 20%
Preț: 619.89 lei - 20%
Preț: 958.63 lei
Preț: 952.00 lei
Preț vechi: 1190.00 lei
-20%
Puncte Express: 1428
Carte tipărită la comandă
Livrare economică 17 iunie-01 iulie
Specificații
ISBN-13: 9781447137245
ISBN-10: 1447137248
Pagini: 368
Ilustrații: XIV, 350 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:Softcover reprint of the original 1st ed. 2002
Editura: SPRINGER LONDON
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:London, United Kingdom
ISBN-10: 1447137248
Pagini: 368
Ilustrații: XIV, 350 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:Softcover reprint of the original 1st ed. 2002
Editura: SPRINGER LONDON
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:London, United Kingdom
Public țintă
ResearchCuprins
A — Introduction and Acquisition Systems.- 1. Introduction.- 2. Stereo Matching and Reconstruction of a Depth Map.- A — Summary.- B — Database Creation and Modelling for 3-D Object Recognition.- 3. 3-D Object Creation for Recognition.- 4. Object Representation and Feature Matching.- B — Summary.- C — Vision Systems — Case Studies.- 5. Optical Character Recognition.- 6. Recognition by Parts and Part Segmentation Techniques.- 7. 3-D Object Recognition Systems.- C — Summary.- Appendices.- A. Vector and Matrix Analysis.- A.1 Preliminaries.- A.1.1 Determinant.- A.1.2 Inversion.- A.2 Derivatives and Integrals of Matrices.- A.3 Vectors and Vector Analysis.- A.4 Eigenvalues and Eigenvectors.- A.5 Quadratic Forms.- B. Principal Component Analysis.- C. Optimisation Fundamentals.- C.1 Fundamental Concepts.- C.2 Linear Least Squares.- C.3 Non-linear Optimisation.- C.4 Direct Search Techniques.- C.4.1 Simplex Method.- C.5 Gradient Methods.- C.5.1 Newton-Raphson Technique.- C.5.2 Davidon-Fletcher-Powell.- C.6 Simulated Annealing.- D. Differential Geometry — Basic Principles.- E. Spline Theory.- E.1 Spline Definitions.- F. Detailed Derivation of Registration Equations.- References.
Caracteristici
The only book to consolidate concepts and tools to design and implement an object recognition system Accompanied by a webpage and ftp site from where readers can download codes from each chapter