Practical Computer Vision with SimpleCV

Kurt Demaagd

ISBN 10: 1449320368 / ISBN 13: 9781449320362

Published by O'Reilly Media, US, 2012

About this Item

SimpleCV is a cross platform (Windows, Macintosh, Linux) framework in Python that makes writing computer vision applications quick and easy. This book takes you through real world examples and applications using SimpleCV so that anyone, even with zero knowledge of computer vision, can use to create their own vision application in a few minutes with a webcam and PC. SimpleCV has its own integrated shell (command line) and code editor so you can rapidly test new techniques, load and run examples, view documentation, etc. The library also works with webcams, cell phones, the Xbox Kinect, and TI's Beagle Board and Panda Board. There are 1-click installers for every platform, so you can be up and running any of the examples included in this book in a few minutes.

Seller Inventory # LU-9781449320362

Bibliographic Details

• Title: Practical Computer Vision with SimpleCV
• Publisher: O'Reilly Media, US
• Publication Date: 2012
• Language: English
• ISBN 10: 1449320368
• ISBN 13: 9781449320362
• Binding: Paperback
• Condition: New

About this title

Synopsis

Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You’ll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional.

• Capture images from several sources, including webcams, smartphones, and Kinect
• Filter image input so your application processes only necessary information
• Manipulate images by performing basic arithmetic on pixel values
• Use feature detection techniques to focus on interesting parts of an image
• Work with several features in a single image, using the NumPy and SciPy Python libraries
• Learn about optical flow to identify objects that change between two image frames
• Use SimpleCV’s command line and code editor to run examples and test techniques

About the Authors

Kurt is VP of Operations at Ingenuitas, and was a co-founder of Slashdot.

Anthony Oliver has worked in machine vision and robotics for 5 years with Big 3 automakers and other large manufacturers. He has written articles for Vision and Sensor Magazine, The online magazine H+, and given talks at Ignite Automotive and machine vision conferences.

Nathan Oostendorp has 15 of experience on running open source communities, being one of the founders of the website “Slashdot”, the site director for SourceForge and the creator of online communities PerlMonks and Everything2.

Katherine Scott is a graduate student at Columbia University specializing in the field of computer vision, has several peer reviewed papers published in the field of Augmented Reality, and several years of work related history in vision systems.