Robert Laganiére Books

This is a cookbook that shows results obtained on real images with detailed explanations and the relevant screenshots. The recipes contain code accompanied with suitable explanations that will facilitate your learning. If you are a novice C++ programmer who wants to learn how to use the OpenCV library to build computer vision applications, then this cookbook is appropriate for you. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can be used as a companion book in university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. The book provides a good combination of basic to advanced recipes. Basic knowledge of C++ is required.

Making your applications see has never been easier with OpenCV. You can teach your robot to follow your cat, identify members of One Direction, or find the right colors for your redecoration. This comprehensive guide introduces the OpenCV library and helps you build your first computer vision program. You will explore various computer vision algorithms and essential concepts in image and video analysis, enabling you to create your own applications. The book guides you through installing and deploying the OpenCV library while emphasizing good programming practices. You will learn to read and write images, manipulate pixels, and apply techniques for image enhancement and shape analysis. Specific image features such as lines, circles, and corners will be detected, and you will be introduced to mathematical morphology and image filtering. Recent methods for image matching and object recognition are covered, along with techniques for processing video from files or cameras and tracking moving objects. Camera calibration and multiple-view analysis are also explained. Lastly, you'll become familiar with modern approaches in machine learning and object classification, equipping you with the skills to leverage OpenCV effectively.