A visual robust augmented reality (AR) register algorithm based on retrieving and tracking pre-defined image feature points is given in this paper. Feature points are retrieved from video by voting from random tree. False matching points are removed by semi local constraint paradigm with iterative homograph constraint. Optical flow is used to track the pre-defined tracking points. Rotation and translation matrix from world coordinate to camera coordinate are obtained with coplanar POSIT algorithm. For tracking method being used in our algorithm

dithering problem is effectively solved in real-time experience.