Abstract
We propose a method for the facial asymmetry analysis using a video image of 3D point cloud. First, we describe how to create pseudo video image. Secondly, we evaluate the asymmetry in two ways. One is the analysis based on the temporal changes of the face landmarks obtained by the matching process, which evaluates how asymmetrical the lip movement is. In the matching process, face landmarks in different frames are corresponded by comparing FPFH values. The other is the analysis based on the center of gravity, which evaluates how asymmetrical the lip shape is. We applied our method to ten pseudo video images. As an experimental result, it is shown that our method can match face landmarks with higher accuracy and the result of the asymmetry analysis does not contradict our sense.
