Object Detection and Recognition in Digital Images: Theory and Practice (Hardcover)
Boguslaw Cyganek
- 出版商: Wiley
- 出版日期: 2013-08-05
- 售價: $5,340
- 貴賓價: 9.5 折 $5,073
- 語言: 英文
- 頁數: 548
- 裝訂: Hardcover
- ISBN: 0470976373
- ISBN-13: 9780470976371
無法訂購
買這商品的人也買了...
-
$1,450$1,421 -
$880$695 -
$620$527 -
$799Digital Image Processing, 3/e (IE-Paperback)
-
$1,080$1,026 -
$590$466 -
$520$468 -
$780$663 -
$560$476 -
$520$468 -
$580$452 -
$480$379 -
$1,500$1,275 -
$349$297 -
$360$281 -
$680$578 -
$250機器學習系統設計 (Building Machine Learning Systems with Python)
-
$780$663 -
$2,245$2,133 -
$1,584R in Action: Data Analysis and Graphics with R, 2/e (Paperback)
-
$580$458 -
$450$383 -
$550$468 -
$1,600$1,600 -
$5,540$5,263
商品描述
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.