Book Image

Mastering OpenCV 3 - Second Edition

By : Jason Saragih
Book Image

Mastering OpenCV 3 - Second Edition

By: Jason Saragih

Overview of this book

As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision. This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn. By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
Table of Contents (14 chapters)
Title Page
Mastering OpenCV 3 Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

References


  • Rapid Object Detection using a Boosted Cascade of Simple Features, P. Viola and M.J. Jones, Proceedings of the IEEE Transactions on CVPR 2001, Vol. 1,pp. 511-518
  • An Extended Set of Haar-like Features for Rapid Object Detection, R. Lienhart and J. Maydt, Proceedings of the IEEE Transactions on ICIP 2002, Vol. 1, pp. 900-903
  • Face Description with Local Binary Patterns: Application to Face Recognition, T. Ahonen, A. Hadid and M. Pietikäinen, Proceedings of the IEEE Transactions on PAMI 2006, Vol. 28, Issue 12, pp. 2037-2041
  • Learning OpenCV: Computer Vision with the OpenCV Library, G. Bradski and A. Kaehler, pp. 186-190, O'Reilly Media.
  • Eigenfaces for recognition, M. Turk and A. Pentland, Journal of Cognitive Neuroscience 3, pp. 71-86
  • Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection, P.N. Belhumeur, J. Hespanha and D. Kriegman, Proceedings of the IEEE Transactions on PAMI 1997, Vol. 19, Issue 7, pp. 711-720
  • Face Recognition with Local Binary Patterns, T. Ahonen...