Natural texture-based tracking algorithm for augmented reality
Peng Ren · Systems engineering and electronics · 2009
A natural texture-based real-time tracking approach to augmented reality is presented,which includes detecting procedure and tracking procedure.Giving a texture image template of the object in real scene,the object detecting and pose estimate are achieved by using a wide baseline matching approach based on a naive Bayesian classifer.Combining a hierarchical L-K optical flow algorithm and a robust inverse compositional algorithm,a tracking algorithm based on corner amd texture features is proposed,which is applied in the tracking procedure above.Experiment results demonstrate that the presented approach is faster,more accurate and robust,and can avoid the jitter of wide baseline matching in AR application.