OpenCV Computer Vision Application Programming

.MP4, x264, 1280x720 | English, AAC, 2 Ch | 2 hrs 27 mins | 511 MB

Instructor: Sebastian Montabone | Genre: eLearning

Incorporate OpenCV's powerful computer vision application programming techniques to build and make your own applications stand out from the crowd.

Learn everything you need to get started with OpenCV

Contains many practical examples covering different areas of computer vision that can be mixed and matched to build your own application

Packed with code with relevant explanation to demonstrate real results from real images

If you are a novice or expert C++ programmer who wants to learn how to use the OpenCV library to develop computer vision applications in ways such as augmented reality, robotics, surveillance, computational photography, object detection or identification then this course is for you. Prior knowledge of computer vision or image processing is not needed.

What You Will Learn

Learn what OpenCV is and how to install it on Linux and Windows

Development with OpenCV using the recommended C++ interface, as well as an introduction to the Python and C interfaces.

Segment objects in your images using grabcut and watershed, cluster your data, and spot interesting points in the image

Merge different images into a single panorama using the technique called panorama stitching

Detect common objects in your images, like faces, eyes, or people

Train your own object detector to detect custom objects

Recognize a face among many others

Learn to calibrate your camera

Remove or reduce the distortion of an image caused by the lens, commonly known as barrel distortion

Change the perspective of an image to match a different 3D pose

Create an image that represents depth information of the scene using stereoscopic images

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