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SUN Min 孙敏 Yao-Lin Gu
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孙敏 顾耀林
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Abstract: 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.
摘要： 自动设定摄像机初始值成为增强现实领域中跟踪技术的热点问题。文中在虚拟视觉伺服（VVS)跟踪算法基础上利用Randomized Tree分类技术，将特征点匹配作为分类问题处理，再利用线性位置算法计算出摄像机的初始位置。通过实验验证了该方法的快速准确性和有效性。
SUN Min 孙敏 Yao-Lin Gu. Classification-based automatic initialization VVS tracking algorithm[J]. Journal of Computer Applications.
孙敏 顾耀林. 基于分类的自动初始化VVS跟踪算法[J]. 计算机应用.
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http://www.joca.cn/EN/Y2008/V28/I7/1675
