A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Journal of Software
In this paper, We use Adaboost to create MILBoost and propose a new MILBoost approach to automatically recognize the facial expression from video sequences by constructing the MILBoost methods. At first, we determine facial velocity information using optical flow technique, which is used to charaterize facial expression. Then visual words based on facial velocity is used to represent facial expression using Bag of Words. Final MILBoost model is used for facial expression recognition, in orderdoi:10.4304/jsw.9.9.2435-2442 fatcat:xnvydo2edffsvcqozffuowlspi