Researcher develops image processing system that detects moods

December 2, 2008

Who knows what evil lurks in the hearts of men? Dr. Prabir Bhattacharya and his computers might. He and Concordia graduate student Abu Sayeed Sohail are developing a computer image processing system that detects and classifies human facial expressions.

The aim of this system is to take and analyze photos of individuals, potentially in areas of high traffic where security is a primary concern, such as an airport. If one could take random photos of the crowd and process them fast enough, there is the potential to identify those individuals who might be problematic.

Facial expressions do not actually involve the entire face, but rather specific sets of muscles under the face near the eyes, nose and mouth. Bhattacharya and Sohail's system measures 15 key points on the face and then compares these measures against images of identifiable facial expressions. Although there is great variety in expression across both individuals and cultures, the pair has identified seven basic expressions that seem to be relatively universal.

The results of their research to date were recently published by Verlag Dr. Müller in Classification of Human Facial Expression: A Prospective Application of Image Processing and Machine Learning.

Source: Concordia University

Explore further: Academic calls for laws to address intrusive potential of face recognition technologies

Related Stories

Teaching robots to see

December 15, 2014

Syed Saud Naqvi, a PhD student from Pakistan, is working on an algorithm to help computer programmes and robots to view static images in a way that is closer to how humans see.

Recommended for you

Power grid forecasting tool reduces costly errors

July 30, 2015

Accurately forecasting future electricity needs is tricky, with sudden weather changes and other variables impacting projections minute by minute. Errors can have grave repercussions, from blackouts to high market costs. ...

Microsoft describes hard-to-mimic authentication gesture

August 1, 2015

Photos. Messages. Bank account codes. And so much more—sit on a person's mobile device, and the question is, how to secure them without having to depend on lengthy password codes of letters and numbers. Vendors promoting ...

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.