Object Detection and Recognition in Digital Images is popular PDF and ePub book, written by Boguslaw Cyganek in 2013-05-20, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Object Detection and Recognition in Digital Images can be Read Online from any device for your convenience.
Object Detection and Recognition in Digital Images Book PDF Summary
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.
Detail Book of Object Detection and Recognition in Digital Images PDF
- Author : Boguslaw Cyganek
- Release : 20 May 2013
- Publisher : John Wiley & Sons
- ISBN : 9781118618363
- Genre : Science
- Total Page : 518 pages
- Language : English
- PDF File Size : 14,5 Mb
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