OpenCV Computer Vision with Python

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Packt Publishing, Apr 23, 2013 - Computers - 122 pages
A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.OpenCV Computer Vision with Python is written for Python developers who are new to computer vision and want a practical guide to teach them the essentials. Some understanding of image data (for example, pixels and color channels) would be beneficial. At a minimum you will need access to at least one webcam. Certain exercises require additional hardware like a second webcam, a Microsoft Kinect or an OpenNI-compliant depth sensor such as the Asus Xtion PRO.

About the author (2013)

Joseph (Joe) Howse is fanciful, so to him the virtual world always seemed to reach out into reality. One of his earliest memories is of watching an animated time-bomb on the screen of a Tandy Color Computer. The animation was programmed in BASIC by Joe's older brother, Sam, who explained, "I'm making a bomb. Get ready!" The bomb exploded in a rain of dots and a rumble of beeps as Joe and Sam ran to hide from the fallout. Today, Joe still fancies that a computer program can blast a tunnel into reality. As a hobby, he likes looking at reality through the tunnel of a digital camera's lens. As a career, he develops augmented reality software, which uses cameras and other sensors to composite real and virtual scenes interactively, in real time.Joe holds a Master of Computer Science degree from Dalhousie University. He does research on software architecture as applied to augmented reality.Joe works at Ad-Dispatch, an augmented reality company, where he develops applications for mobile devices, kiosks and the Web.Joe likes cats, kittens, oceans and seas. Felines and saline water sustain him. He lives with his multi-species family in Halifax, on Canada's Atlantic coast.

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