平板图案的跟踪及其在增强现实中的应用

Planar pattern tracking and its application in augmented reality

介绍一种实时的基于单摄像机的平板图案跟踪算法。该算法可以在增强现实应用中用于摄像机定位和虚拟物体的放置。针对跟踪中由运动模糊和目标较小所引起的跟踪失败情况做出了讨论,提出结合使用LK跟踪算法和基于匈牙利算法的角点匹配来解决这些问题。还提出使用基于约束的非线性优化来降低噪声对摄像机方位计算的影响。实验结果表明,该算法能够在复杂情况下,可靠地跟踪目标图案,获取准确平滑的摄像机定标结果。

An approach for planar pattern tracking was introduced. The tracker could locate a planar pattern accurately in real time using a Web-camera. The tracking result could be used for computing camera's position and placing virtual object in the video. Some common tracking failures caused by 'motion blur', 'fast motion', 'small target' were discussed. An algorithm, combined 'LK tracking' techniques with 'Hungarian algorithm-based feature correspondence', was used to solve such problems. A method based on non-linear optimization is used to suppress the influence of noise, when computing the camera's position. The experiments show that this method can track the planar pattern robustly in some difficult situations. The curve of the camera's computed position is smooth and accurate.