About this video

OpenCV (Open Source Computer Vision) is a library of programming functions that can be used for many applications such as augmented reality, robotics, surveillance, medical imaging, identification, to mention only a few. With OpenCV, developers can avoid the use of complex mathematics and algorithms and focus on developing applications, taking advantage of the comprehensive, ready to use functionality of OpenCV to automate tasks that a human performs visually. This course will expose you to the key concepts of OpenCV and enable you to build your own computer vision applications.

"OpenCV Computer Vision Application Programming" allows you to dive into the world of computer vision and get many practical benefits from it with minimal effort. You will learn to recognize and identify specific faces among others, or even train your very own object detector to use it for your own specific purposes.

"OpenCV Computer Vision Application Programming" helps you get started with the library by first learning how to install OpenCV correctly on your system. You will then explore basic image processing concepts as well as the different interfaces that you can use in OpenCV. Develop techniques to separate foreground and background in your images, create stunning panoramas easily by stitching normal images together, enhance your photographs, calibrate your camera and automatically detect common objects like faces or people on your images. Reduce the distortion of your photographs and make straight lines of the scene look straight instead of bent in your images.

You will learn to change the perspective of your images so that it appears that you are moving around, similar to google street view navigation and develop a 3D representation of a scene using stereoscopic images.

On completion of this course, you will be able to mix and match the provided examples to build your own application.

Style and Approach

Packt video courses are designed to cover the breadth of the topic in short, hands-on, task-based videos. Each course is divided into short manageable sections, so you can watch the whole thing or jump to the bit you need. The focus is on practical instructions and screencasts showing you how to get the job done.

This course shows results obtained on real images with suitable explanations accompanied with code that will facilitate your learning. Each example covers different aspects of computer vision that you can use in your own applications.

Publication date:
May 2013
2 hours 27 minutes

About the Author

  • Sebastian Montabone

    Sebastian Montabone is a computer engineer with a Master of Science degree in computer vision. He is the author of scientific articles regarding image processing and a book, Beginning Digital Image Processing: Using Free Tools for Photographers. He uses many open source software and strongly believes in the open source philosophy. Embedded systems also have been of interest to him, especially mobile phones. He created and taught a course about development of applications for mobile phones, and has been recognized as a Nokia developer champion. If you could summarize all his areas of interest in a single concept, it would be ubiquitous computing. Currently he is a software consultant and entrepreneur. You can visit his blog at http://www.samontab.com where he shares his current projects with the world.

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OpenCV Computer Vision Application Programming [Video]
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