Object Detection and Recognition in Digital Images PDF

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Object Detection and Recognition in Digital ImagesObject 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 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 software library, and an accompanying manual to the software platform.

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

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File Type: PDF

File Size: 10 MB

Tags: #Digital Image Processing

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