应用普通精度陀螺的快速全局运动估计方法

Method to Fast Global Motion Estimation Using Gyroscope with Ordinary Precision

  • 摘要: 提出一种应用普通精度陀螺的全局运动估计快速算法. 该算法利用陀螺来传感摄像系统的不稳定信息,并从陀螺输出的信息中得出视频抖动的方位(象限),以该方位作为基准对当前帧相对参考帧的局部运动矢量进行奇异点滤除,运用最小二乘法(迭代最小二乘法)解算全局运动参数. 该算法运算速度快,对陀螺精度要求低,对由干扰运动和矢量估计误差产生的奇异点滤除效果好、运动估计精度高.

     

    Abstract: A fast global motion estimation algorithm is proposed by employing the gyro with ordinary precision to sense the camera status. Firstly gyro is used to sense the jitter of camera system, and the bearings (quadrant) of video jitter are achieved from the gyro output. Secondly, singular points of local motion vector are filtered using the acquired direction and position as the reference. Finally, global motion parameters are worked out using the least square method (LS). Experimental result shows that this algorithm has the advantages of fast operation, high accuracy of motion estimation and low precision requirement of gyro. Also it could effectively filter singular points stemming from either interference of local motion or error of calculation.

     

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