OpenCV Computer Vision Application Programming – Learn how to program image processing with OpenCV
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 use complex mathematics and algorithms and focus to develop applications, taking advantage of the OpenCV’s comprehensive, ready-to-use functionality to automate tasks that a person 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 lets you 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 particular 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 the basic image processing concepts as well as the various interfaces that you can use in OpenCV. Develop techniques to separate backgrounds and backgrounds into your images, create stunning panoramas easily by stitching normal images together, enhance your photos, calibrate your camera and automatically detect common objects like faces or people on your images. Reduce the distortion of your photos and make straight lines of the scene look straight rather than bent in your images.
You will learn to change the perspective of your images so that it looks like you are moving around, similar to google street view navigation and develop a 3D representation of the 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.
Table of Contents:
– Getting Started with OpenCV
– OpenCV Basics
– Image Processing
– Segmenting Images and Obtaining Interesting Points
– Computational Photography
– Recognizing Objects
– Calibration and Stereo Images
Manufacturer: Pakkt / Packt
Language of instruction: English
Moderator: Robert Laganière
Level of training: Secondary, Advanced
Training time: 2 hours + 27 minutes
File size: 512 MB