Object Detection and Recognition in Digital Images PDF

In Book, Computer 122 views


BOOK DESCRIPTION:
Object Detection and Recognition in Digital ImagesObject detection, tracking and in images are key problems in vision. This 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 clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and kmeans 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 library, and an accompanying manual to the software platform.

BOOK DETAILS:
Publisher: Wiley-Blackwell
Author: Boguslaw Cyganek
Edition: 1
ISBN-10: 0470976373
ISBN-13: 9780470976371
Pages: 548
Published: Jul 23 2013
Language: English
Book format: PDF
Book size: 9.79 MB

Download Now

File Type: PDF

File Size: 10 MB

Tags: #Digital Image Processing

No related post!

Leave a reply "Object Detection and Recognition in Digital Images PDF"

Must read×

Top