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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...

Increasingly, students of subjects other than Computer Science need to learn computer science basics. In this respect, students of Electronics, Telecommunication, Automatics, Robotics, etc. need to be well prepared to program low-level microprocessor platforms, to know programming concepts of simple and advanced operating systems (e.g. uC/OS, FreeRTOS and Linux), be well prepared for parallel computations, as well as for programming of embedded systems, device drivers, programmable logic devices (FPGA) and graphic cards, to name a few. All of these heavily rely on C/C++. Since the majority of...

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model.

This book provides a comprehensive introduction to the methods, theories and algorithms of 3D...