A Registration Method Based on Nature Feature with KLT Tracking Algorithm for Wearable Computers

KLT algorithm has been widely used in the registration process for natural features tracking in augmented reality (AR) systems. However, KLT is vulnerable by surrounding environments, and the feature points on screen borderlines or once be occluded may not be tracked persistently. Homographic matrices cannot be calculated accurately due to these disadvantages, which will result in registration failure. In this paper, KLT algorithm was improved based on the updating strategy of feature-points set, moreover, we applied RANSAC algorithm to filter mismatched feature points for calculating homographic matrices precisely. The new method was implemented in a prototype system which ran on a wearable computer, and the experiments results show that our system can not only track the feature points stably but also ensure the accuracy and the effectiveness of registration.