Master real-time Computer Vision using OpenCV in an Instant with Packt's new eBook

June 2013 | Open Source

Packt is pleased to announce the release of Instant Open CV StarterInstant Open CV Starter, a beginner's guide to the functions of OpenCV, packed with practical examples and real-life code implementation.

About the Authors: Jayneil Dalal is an Embedded Linux Engineer/Technical Writer who loves to explore different open source technologies and has been a key member of the www.PandaBoard.org and www.Beagleboard.org projects at Texas Instruments. He has been selected to give a talk at Linuxfest Northwest 2013 and OSCON 2013.

Sohil Patel is a computer vision engineer and FOSS advocate who loves to explore different open source technologies. His areas of interest include Python, computer vision, augmented reality, Linux, HCI, Pandaboard, and other open source hardware platforms. He is currently working at Azoi, a startup based in India.

Instant Open CV Starter will teach readers all they need to know about using OpenCV in real life. Open CV has wide ranging applications in various fields in this digital age, and this book will cover tasks such as reading, displaying, cropping, and saving images.

The book also features small, practical programming projects that will familiarize readers with various functions. After covering the basics, it goes on to explain detecting boundaries in a given image, hiding an image in a different image, and real-time video processing.

Readers who are new to OpenCV will find this book an indispensable guide to getting started with OpenCV. Hobbyists and developers looking to further enhance their skills in OpenCV will also find this book useful. For more information, please visit: http://www.packtpub.com/opencv-starter/book


Instant R Starter
Discover the basics of OpenCV

For more information, please visit:

Code Download and Errata
Packt Anytime, Anywhere
Register Books
Print Upgrades
eBook Downloads
Video Support
Contact Us
Awards Voting Nominations Previous Winners
Judges Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software
Resources
Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software