Computer Vision with MATLAB
Are you interested in computer vision? Did you know that there is a MATLAB toolbox specifically tailored to computer vision applications? Computer Vision Toolbox™ gives you access to a set of verified computer vision libraries with accompanying documentation.
Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene. In this presentation, we demonstrate how MATLAB provides a flexible environment to explore design ideas and create unique solutions for these applications.
Through product demonstrations, you will learn about new capabilities for computer vision using MATLAB. You will see how to:
- Detect, extract, and match features such as corners and SURF features
- Perform automatic image registration with RANSAC to estimate the geometric transformation
- Recognise objects with the Viola-Jones algorithm
- Track objects using a Kalman filter or feature points
Recorded: 9 Oct 2012
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