Preface

Mastering OpenCV, now in its third edition, is a book series targeting computer vision engineers in their first steps in using OpenCV as a tool. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision including face recognition, landmark detection and pose estimation, number recognition with deep convolutional networks, structure from motion and scene reconstruction for augmented reality, and mobile phone computer vision in native and web environments. This book brings together the vast knowledge of the authors in implementing computer vision products and projects, both in academia and in industry, in a comfortable package. It takes readers through an explanation of the API functionality, while providing insights into design choices in a complete computer vision project, and elevates beyond the basics of computer vision to implement solutions for complex image recognition projects.