针对光学运动捕获系统中散乱数据注册问题，提出一种基于首帧标记点分割的标记点注册方法。该方法首先利用人体拓扑结构对首帧散乱数据进行分割，然后根据标记点局部刚性特征和时空信息完成注册，无需手工指定初始模板。对于存在缺失的数据，基于相邻帧标记点运动变化不大的假设，利用标记点的局部刚性特征对缺失数据进行预测。实验结果表明，该方法能快速且准确地标注各标记点，具有较好的鲁棒性和实时性。%An automatic marker registration method is proposed to solve the registration problem of scattered point-set in optical motion capture system. Firstly, the markers in the first frame are segmented to provide the initial skeleton template with the knowledge of human body topology structure. Then, according to the local rigidity property and spatio-temporal information,the registration of marker is achieved by finding the most matching point in previous frame, which does not need specifying the initial template by hand. Under the assumption that markers do not change a lot in two consecutive frames, the coordinates of missing markers are predicted by using local rigidity property of the same segment. The experimental results show that every marker can be registered quickly and accurately and the proposed method has strong robustness and real-time performance.
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