Facial Expression Analysis with OpenCV

January 31, 2013

Bernard Cole-January 31, 2013

In “OpenCV Facial Expression Analysis,” Scott Silver of Rutgers University describes the use of the OpenCV library to create a mechanism by which facial expressions and gestures can be recognized by a camera so that computers will be able to interact humans much more naturally.

Additionally, he looks at the use of machine learning algorithms on facial expressions in combination with a computer vision algorithm to tell if a person is lying with high accuracy. He also describes a method by which to collect data about facial movements and conclusively determine expressions.


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