Book Image

OpenCV Computer Vision with Python

By : Joseph Howse
Book Image

OpenCV Computer Vision with Python

By: Joseph Howse

Overview of this book

<p>OpenCV Computer Vision with Python shows you how to use the Python bindings for OpenCV. By following clear and concise examples, you will develop a computer vision application that tracks faces in live video and applies special effects to them. If you have always wanted to learn which version of these bindings to use, how to integrate with cross-platform Kinect drivers, and how to efficiently process image data with NumPy and SciPy, then this book is for you.</p> <p>This book has practical, project-based tutorials for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python. It is a hands-on guide that covers the fundamental tasks of computer vision, capturing, filtering, and analyzing images, with step-by-step instructions for writing both an application and reusable library classes.</p>
Table of Contents (14 chapters)
OpenCV Computer Vision with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

David Millán Escrivá was eight years old when he wrote his first program on an 8086 PC with Basic language, which enabled the 2D plotting of basic equations; he started with his computer development relationship and created many applications and games.

In 2005, he finished his studies in IT from the Universitat Politécnica de Valencia with honors in human-computer interaction supported by computer vision with OpenCV (v0.96). He had a final project based on this subject and published it on HCI Spanish congress.

He participated in Blender source code, an open source and 3D-software project, and worked in his first commercial movie Plumiferos—Aventuras voladoras as a Computer Graphics Software Developer.

David now has more than 10 years of experience in IT, with more than seven years experience in computer vision, computer graphics, and pattern recognition working on different projects and startups, applying his knowledge of computer vision, optical character recognition, and augmented reality.

He is the author of the DamilesBlog (http://blog.damiles.com), where he publishes research articles and tutorials about OpenCV, computer vision in general, and Optical Character Recognition algorithms. He is the co-author of Mastering OpenCV with Practical Computer Vision Projects , Daniel Lélis Baggio, Shervin Emami, David Millán Escrivá, Khvedchenia Ievgen, Naureen Mahmood, Jasonl Saragih, and Roy Shilkrot, Packt Publishing. He is also a reviewer of GnuPlot Cookbook, Lee Phillips, Packt Publishing.

Abid K. is a student from India pursuing M.Tech in VLSI Design at National Institute of Technology (Suratkal). He finished his B.Tech in Electronics & Communication. He is particularly interested in developing hardware architectures for image processing and speech processing algorithms.

He started using OpenCV Python in his college days as a hobby. The lack of learning resources on OpenCV Python at that time made him to create his own blog, www.opencvpython.blogspot.com, and he still maintains it. In his free time, he used to answer questions related to OpenCV Python at stackoverflow.com, and those discussions are reflected in his blog articles. He also works as a freelancer during college holidays and even helps school students grow their interest in OpenCV Python and computer vision.