Decoration of Human Face in Video Image by Estimating Eye Positions with Particle Filter
Decorating human face in video image by estimating eye positions with particle filter has been proposed. Estimation of eye positions is presented in a sequential manner by formulating a face motion in a state space model. The model consists of simplified two-dimensional face with two dimensional motion and rotation. The positions of the two eyes in an image frame play a key role in estimating the face posture. Real-time estimation of eye positions has been realized by particle filter algorithm with likelihood computation consisting of adequacy of face and eyes. Eye decoration works as a result for enlarging the areas of eyes by estimating pupil positions. Experiments with different conditions of face, such as static scene, rotation, parallel motion, and some other motions have conducted to demonstrate performance of the proposed method.
Gefan Zhang Norikazu Ikoma Hideaki Kawano Hiroshi Maeda
Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-7
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）