Horn Schunck Algorithm for Facial Expression Change Detection Classification
Norulzahrah Mohd Zainudin, Suzaimah Ramli, T. Tan Zizi, Nor Asiakin Hasbullah, M. Mohd Hanafi, Noorfishah Abdul Wahab, Norazlin Ibrahim · International Journal for Information Security Research · 2015
This study is aimed to investigate the use of optical flow techniques in detecting changes in facial expressions.Facial expression detection is very important as we can identify a person's emotional and mental state.When communicating with people, we can identify someone's expression accurately compared to a computer.Although many approaches are applied on this topic, there are still several drawbacks and limitations.In order to yield better results, we have applied optical flow technique to detect facial expression.In addition, we have carried out our experiment using Horn-Schunck method to optimize the results.Based on the experiment conducted, the average value represented by every facial expression can be identified, and the values are significant for future research that focuses on facial expression classification.