Book Image

Mastering OpenCV 4 - Third Edition

By : Roy Shilkrot, David Millán Escrivá
Book Image

Mastering OpenCV 4 - Third Edition

By: Roy Shilkrot, David Millán Escrivá

Overview of this book

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. 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 such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)


  • 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,...