Computer Vision is a broad topic comprising a lot of different areas. If you want to start using Computer Vision algorithms in your projects, it may be ambiguous where the entry point is. Even if you're an experienced Computer Vision engineer, undoubtedly there are some technologies that you would want to explore in depth or get familiar with. In both cases, a practical approach works best. Only through applying methods to real problems, tuning existing methods to meet your requirements, and playing with samples can you fully understand the possibilities and limitations of any Computer Vision algorithm. This book is specifically designed to get your hands dirty with solving real computer vision tasks. Recipes in this book use OpenCV—the most popular, functionally rich, and widely used open source Computer Vision library. This book progresses from the simplest samples to the most complicated ones, so you will be able to find some useful and information which is easy to understand.
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