从稳定区域进行扩展的动态变形表面三维测量与跟踪方法

3-D Measuring and Tracking for Dynamic Deformable Surfaces Based on Expansion from Reliable Region

在测量动态变形三维物体表面时,由于采用全局优化的方法处理较长运动视频会产生较大的累积误差,导致测量结果不稳定,为此,提出一种基于图像块的局部区域扩展方法.首先在立体图像与运动图像中寻找稳定的匹配特征点,根据匹配特征点的局部归一化关联度将匹配区域按照稳定程度排序;然后从最稳定的区域开始逐步扩展,之后修补在遮挡或高光区域出现的漏洞;最后修复运动中出现的累积误差,从而实现精确的三维测量与跟踪.模拟数据和真实数据的实验结果证明,该方法可以测量复杂变形表面的三维运动和三维形状,为定量分析动态变形物体运动提供有用的数据.

There usually exist large accumulated errors when dynamic deformable three-dimensional （3- D） surfaces are measured from a long calibrated stereo image sequence by global optimization methods, which results in unstable measurement. Thus, this paper presents an effective method based on local image patch expansion technique. Firstly, the proposed method locates the stable matching feature points in stereo and motion images, and sorts the matching regions according to normalized cross- correlation of the matching feature points~ Secondly, the method performs expansion from the most reliable region, and fixes the holes produced by self-occlusions and high light~ Finally, the method removes the accumulated errors generated during motion and realizes 3-D measuring and tracking accurately. The performance is evaluated on the synthetic rotating textured sphere, and the effectiveness is demonstrated by different real surfaces, which shows that the proposed method can measure complex deformable surfaces and provide useful data for analyzing the motion of dynamic deformable objects.