Here are several educational resources to help you learn about OpenCV (Open Source Computer Vision Library)
Luke Hetherington | Robotics Tomorrow
OpenCV (Open Source Computer Vision Library) is a set of C/C++ computer vision functions used with ROS (Robot Operating System) maintained by Willow Garage, Intel and Itseez. The library also has a full Python interface.
GETTING STARTED
-
OPENCV Introduction
-
Installing Python and OpenCV in Linux
-
Installing OpenCV and Python under Windows
-
Python OpenCV Tutorials
-
Incomplete Java Wrapping For OpenCV
CONCEPTS
-
Common Computer Vision Algorithm Introductions
-
Computer Vision: Models, Learning, and Inference
Free 600 page textbook from Simon J.D. Prince
ACTIVE RESOURCES
OPENCV & KINNECT
-
OpenKinect
Core library (libfreenect) for accessing the Microsoft Kinect USB camera for Linux, Mac and Windows -
Kinect (libfreenect) and OpenCV examples
The content & opinions in this article are the author’s and do not necessarily represent the views of RoboticsTomorrow
Comments (0)
This post does not have any comments. Be the first to leave a comment below.
Featured Product
3D Vision: Ensenso B now also available as a mono version!
This compact 3D camera series combines a very short working distance, a large field of view and a high depth of field - perfect for bin picking applications. With its ability to capture multiple objects over a large area, it can help robots empty containers more efficiently. Now available from IDS Imaging Development Systems. In the color version of the Ensenso B, the stereo system is equipped with two RGB image sensors. This saves additional sensors and reduces installation space and hardware costs. Now, you can also choose your model to be equipped with two 5 MP mono sensors, achieving impressively high spatial precision. With enhanced sharpness and accuracy, you can tackle applications where absolute precision is essential. The great strength of the Ensenso B lies in the very precise detection of objects at close range. It offers a wide field of view and an impressively high depth of field. This means that the area in which an object is in focus is unusually large. At a distance of 30 centimetres between the camera and the object, the Z-accuracy is approx. 0.1 millimetres. The maximum working distance is 2 meters. This 3D camera series complies with protection class IP65/67 and is ideal for use in industrial environments.