Suzuki Wataru, Hiyama Atsushi, Ichinohe Noritaka, Yamashita Wakayo, Seno Takeharu, Takeichi Hiroshige
J Opt Soc Am A Opt Image Sci Vis. 2020 Dec 1;37(12):1958-1964. doi: 10.1364/JOSAA.398677.
We proposed a method for extracting the optical flow suitable for visualization, pseudo-flow (P-flow), from a natural movie [Exp. Brain Res.237, 3321 (2019)EXBRAP0014-481910.1007/s00221-019-05674-0]. The P-flow algorithm comprises two stages: (1) extraction of a local motion vector field from two successive frames and (2) tracking of vectors between two successive frame pairs. In this study, we show that while P-flow takes a feature (vector) tracking approach, it is also classified as a gradient-based approach that satisfies the brightness constancy constraint. We also incorporate interpolation and a corner detector to address the shortcomings associated with the two approaches.
我们提出了一种从自然电影中提取适用于可视化的光流即伪流（P-flow）的方法[《实验脑研究》237, 3321 (2019) EXBRAP0014 - 4819 10.1007/s00221 - 019 - 05674 - 0]。P-flow算法包括两个阶段：(1) 从两个连续帧中提取局部运动矢量场，以及 (2) 跟踪两个连续帧对之间的矢量。在本研究中，我们表明，虽然P-flow采用特征（矢量）跟踪方法，但它也可归类为满足亮度恒定约束的基于梯度的方法。我们还纳入了插值和角点检测器来解决与这两种方法相关的缺点。
