Classification-based automatic initialization VVS tracking algorithm
基于分类的自动初始化VVS跟踪算法

Automatic initialization becomes the hot issue in the tracking of augmented reality. The paper based on Virtual Visual Servoing (VVS) tracking algorithm used randomized trees as the classification technique and treated the feature point matching as a classification problem. Then, a linear pose computation method was used to estimate the initial camera position. Finally, the fast veracity was verified and the method had a better performance.