Face recognition is the process of identifying people in images or videos by comparing the appearance of faces in captured imagery to a database. Face recognition has many applications ranging from security and surveillance to biometric identification to access secure devices.

In this webinar, discover how to use computer vision and machine learning techniques to recognize faces in images and video. Topics covered in this session include

• Face recognition on a small database using feature based methods
• Scaling face recognition algorithms for use with large databases
• Facial verification to determine if two facial images belong to the same person

Existing MATLAB users will learn about new features for pattern classification, data regression, feature extraction, face detection and face recognition.

About the Presenter
Avi Nehemiah works on computer vision applications in technical marketing at MathWorks. Prior to joining MathWorks he spent 7 years as an algorithm developer and researcher designing computer vision algorithms for hospital safety and video surveillance. He holds an MSEE degree from Carnegie Mellon University.