Parallel computation of high-accuracy scene flow based on multiview stereo

场景流是目标物体在真实的空间中运动的三维矢量场表示，它可以从一组不同视点拍摄的图像序列中估计出来。近年来，在CG、VR、运动分析等应用中，需要快速准确的场景流估计方法。作为我们的进展的一个指标，我们已经开发了一个场景流估计方法与体素为基础的多视图立体和并行的方法进行这种场景流估计的PC集群机。此外，我们证明了我们开发的方法的有效性，通过几个应用程序上的实验。

Scene flow is 3D vector field representation of target object's motion in a real space, which can be estimated from a set of image sequences taken at different viewpoints. Recently, high-speed methods for estimating accurate scene flow are needed in widely various applications such as CG, VR, motion analysis, etc. Our research addresses this issue. As an indication of our progress, we have developed a scene flow estimation method with voxel based multiview stereo and a parallel method for performing this scene flow estimation on a PC cluster machine. Furthermore, we demonstrate the effectiveness of our developed methods through the experiments on several applications.