1 research outputs found
Using Bezier Curve analysis in context of Expression Analysis
Affective computing is an area of research under
increasing demand in the field of computer vision. Expression
analysis, in particular, is a topic that has been undergoing research
for many years. In this paper, an algorithm for expression
determination and analysis is performed for the detection of seven
expressions: sadness, anger, happiness, neutral, fear, disgust and
surprise. First, the 68 landmarks of the face are detected and the
face is realigned and warped to obtain a new image. Next, feature
extraction is performed using LPQ. We then use a dimensionality
reduction algorithm followed by a dual RBF-SVM and Adaboost
classification algorithm to find the interest points in the features
extracted. We then plot bezier curves on the regions of interest
obtained. The curves are then used as the input to a CNN and this
determines the facial expression. The results showed the algorithm
to be extremely successfu