Application of Time-varying Acceleration Coefficients PSO to Face Pose Estimation
Yudong Zhang, Shuihua Wang, Genlin Ji · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
This study focuses on the problem of human face pose estimation based on single image.Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they cannot work well due to lack of correspondences of input images.We transfer the problem into an optimization problem via six-point template, and solve the problem by time-varying acceleration coefficients particle swarm optimization (TVAC-PSO).Experiments on 40 different poses demonstrate that the TVAC-PSO is superior to either GA or PSO in terms of accuracy.