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Object Detection
Hardcover
ISBN13: 9780470976371
Publisher: John Wiley & Sons
Published: Jul 26 2013
Pages: 560
Weight: 2.20
Height: 1.20 Width: 6.70 Depth: 9.90
Language: English
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.
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