Artboard 33 Artboard 16 Artboard 18 Artboard 42 Artboard 21 Artboard 5 Artboard 45 Artboard 22 Artboard 42 Artboard 23 Artboard 17? Artboard 28 Artboard 43 Artboard 49 Artboard 47 Artboard 38 Artboard 32 Artboard 22 Artboard 5 Artboard 25 Artboard 1 Artboard 42 Artboard 11 Artboard 41 Artboard 23 Artboard 4 Artboard 9 Artboard 6 Artboard 7 Artboard 3 Artboard 12 Artboard 25 Artboard 34 Artboard 43 Artboard 44 Artboard 39 Artboard 24 Artboard 13 Artboard 24 Artboard 31 Artboard 27 Artboard 30 Artboard 36 Artboard 44 Artboard 17 Artboard 6 Artboard 27 Artboard 30 Artboard 29 Artboard 26 Artboard 2 Artboard 20 Artboard 35 Artboard 15 Artboard 14 Artboard 50 Artboard 26 Artboard 40 Artboard 21 Artboard 10 Artboard 37 Artboard 46 Artboard 8
e-book

Object Detection and Recognition in Digital Images - Theory and Practice (Cód: 9302463)

Cyganek,Boguslaw

Wiley (Digital)

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 183,93

em até 6x de R$ 30,66 sem juros

Total:

Em até 1x sem juros de


Crédito:
Boleto:
Cartão Saraiva:

Total:

Em até 6x sem juros de


Object Detection and Recognition in Digital Images - Theory and Practice

R$183,93

Descrição

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

Características

Peso 0.00 Kg
Produto sob encomenda Sim
Marca Wiley (Digital)
Acabamento e-book
Cód. Barras 9781118618370
AutorCyganek,Boguslaw