修正邻域系的三维运动图像重建算法仿真研究

Three Dimensional Movement Image Reconstruction Algorithm Simulation Based on Modified Neighborhood System

在研究物体的运动真实性优化的过程中,关键特征点的运动状态随机性很大,很难建立准确的运动形状基动态模型。传统的三维运动重建算法都是运用固定形状基模型,但是固定模型很难表述复杂运动变化参数和大规模动态特征的运动规律,造成重建效果不逼真的弊端。提出一种修正邻域系的三维运动图像重建算法,通过运动参数修正特征点的邻域系,直到参数达到稳定,保证参数的修正稳定,也间接保证了重建的准确性。计算机仿真结果表明,改进算法能够克服运动状态随机性较大造成的运动重建效果不逼真的缺陷,完成三维运动图像重建。

The paper put forward a modified neighborhood system of 3-d motion image reconstruction algorithm. The motion parameters were used to correct the neighborhood system of the feature point, until the parameters achieve stability, which ensures the stability of correction parameters, and also indirectly guarantees the accuracy of the re- construction. The simulation results show that the algorithm can overcome the defects of large random motion state, and complete 3-d motion image reconstruction.