Modeling of Human Face Expressions and Hand Movement for Animation

Abstract

Animation is the process of creating an illusion of motion by moving images rapidly in an order which minimally differ from each other. In this paper, a solution is proposed to simplify the process of animation by tracking movement of hand and facial expressions. Face detection performed using Haar-Cascade classifier whereas hand detection is achieved using Otsu's binarization and Ramer-Douglas-Peucker contour detection algorithm. Facial expression landmarks are captured from the Haarlike features. Hand movements feature points are extracted from the contour. Replay phase includes drawing the virtual object by calculating the translational factors and redrawing the virtual object in every frame during replay. The proposed approach is observed to achieve the smooth translation of face expression and hand movement and reduce the time and effort needed to make the animation. Copy Right © INDIACom-2018.