Author(s)

Xiaoli Liu, Xiaoyan Wang

Corresponding Author

Xiaoli Liu

Abstract

Automatically obtaining the pose of 3D object is one of the difficulties in computer vision. In this paper, feedback control theory is used to solve these problems. It is mainly a dynamic target cognitive mechanism with a supervision controller and virtual vision servo controller. Supervisory controller finds the potential matching feature sets according to the feature performance evaluation index, and virtual vision controller gets the possible pose and the integral error under matching hypothesis. The supervisory controller switches in the candidate matches until the integral error is less then specific threshold, then the corrected matchers are found. The augmented reality experiment shows the effectiveness and robustness of the algorithm at the end.

Keywords

Supervisory Control, virtual vision servo, augmented reality, Automatically Registration