by | Released May 2013 | ISBN: 9781849694889

Incorporate OpenCV's powerful computer vision application programming techniques to build and make your own applications stand out from the crowdAbout This VideoLearn everything you need to get started with OpenCVContains many practical examples covering different areas of computer vision that can be mixed and matched to build your own applicationPacked with code with relevant explanation to demonstrate real results from real imageIn DetailOpenCV (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 Show and hide more

1. Chapter 1 : Getting Started with OpenCV
   • Introduction to OpenCV 00:02:05
   • Installation on Linux 00:07:11
   • Installation on Windows 00:08:10
2. Chapter 2 : OpenCV Basics
   • OpenCV Interfaces 00:02:39
   • C Interface Basics 00:06:18
   • C++ Interface Basics 00:05:45
   • Python Interface Basics 00:03:33
   • Drawing Shapes 00:05:22
3. Chapter 3 : Image Processing
   • Blurring an Image 00:03:02
   • Understanding Image Morphology 00:05:45
   • Applying Geometric Transforms to an Image 00:02:58
   • Understanding Histograms 00:05:54
4. Chpater 4 : Segmenting Images and Obtaining Interesting Points
   • Clustering Data with k-means 00:06:06
   • Segmenting an Image using the Watershed algorithm 00:06:58
   • Segmenting an Image using the Grabcut algorithm 00:03:25
   • Finding and Matching Interesting Points 00:04:15
5. Chapter 5 : Computational Photography
   • Creating a Panorama 00:03:18
   • Removing Unwanted Objects 00:02:18
   • Enhancing Low Light Images 00:01:51
   • Working with HDR Images 00:03:10
6. Chapter 6 : Recognizing Objects
   • Detecting Shapes 00:03:28
   • Detecting Faces 00:05:14
   • Detecting People 00:03:43
   • Training your own detector 00:07:04
   • Recognizing faces 00:05:04
7. Chapter 7 : Calibration and Stereo Images
   • Calibrating the Camera 00:04:29
   • Undistorting an Image 00:02:22
   • Projecting an Image 00:03:18
   • Understanding Stereo Images 00:06:39
   • Generating a Depth Map 00:04:05
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