Computer Vision with MATLAB
Upcoming Webinar: Computer Vision with MATLAB
This webinar is offered at the following date/time(s):
22 Jun 2012 8:00 AM CDT
Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene. In this webinar, you will learn about new capabilities for computer vision with the MATLAB product family. Through product demonstrations, 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
- Recognize objects with the Viola-Jones algorithm
- Track objects with the color histogram-based CAMShift algorithm
This webinar assumes some experience with MATLAB and Image Processing Toolbox. We will focus on the Computer Vision System Toolbox.
About the Presenter: Bruce Tannenbaum works on image processing and computer vision applications in technical marketing at MathWorks. Earlier in his career, he developed computer vision and wavelet-based image compression algorithms at Sarnoff Research Center.