In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. This book will help you tackle increasingly challenging computer vision problems by providing a number of recipes that you can use to improve your applications. OpenCV's convenient high-level APIs hide very powerful internals designed for computational efficiency that can take advantage of multicore and GPU processing. OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing.

Detect objects and track them in videos.

Binarize images and mask out regions of interest.

Find out how to detect interesting points in images and compare them.

Work with different camera models and epipolar geometry.

See the common linear algebra tools needed in computer vision.

Get familiar with low-level image processing methods.If you are aware of the basics of OpenCV and are ready to build computer vision systems that are smarter, faster, more complex, and more practical than the competition, then this book is for you. This book is for developers who have a basic knowledge of Python. Learn to use deep learning models for image classification, object detection, and face recognition.Get to grips with image processing, multiple view geometry, and machine learning.Build computer vision applications with OpenCV functionality via Python API.

Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs

Chessboard pdf open cv face detection