Locally Oriented Optical Flow Computation

Locally Oriented Optical Flow Computation
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局部定向光流计算

DOI:
10.1109/tip.2011.2177847
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发表时间:
2012-04
影响因子:
10.6
通讯作者:
Brooks, Michael
Brooks, Michael
中科院分区:
计算机科学1区
文献类型:
--
作者:
牛砚 (第一作者兼通讯作者);Dick;Anthony;Brooks, Michael

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本文提出了一种自适应局部定向坐标系计算光流场时使用。坐标系与关于每个像素的局部窗口中的最小曲率方向对准。这对于将流场拟合到图像数据以及在相邻像素之间施加平滑度约束两者都具有优点。在拟合方面,由于坐标系提供的额外不变性,获得了对更广泛的图像运动的鲁棒性。平滑度约束自然地沿通常对应于运动边界的图像边界沿着传播。此外,移动对象可以有效地分割在最小曲率方向。我们的实验表明,该方法的好处,并证明快速旋转运动的鲁棒性,如经常发生在人体运动。
This paper proposes the use of an adaptive locally oriented coordinate frame when calculating an optical flow field. The coordinate frame is aligned with the least curvature direction in a local window about each pixel. This has advantages to both fitting the flow field to the image data and in imposing smoothness constraints between neighboring pixels. In terms of fitting, robustness is obtained to a wider variety of image motions due to the extra invariance provided by the coordinate frame. Smoothness constraints are naturally propagated along image boundaries which often correspond to motion boundaries. In addition, moving objects can be efficiently segmented in the least curvature direction. We show experimentally the benefits of the method and demonstrate robustness to fast rotational motion, such as what often occurs in human motion.
DOI: --
发表时间: --
影响因子: 3.3
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