Locally Oriented Optical Flow Computation
Locally Oriented Optical Flow Computation
复制标题
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
中科院分区:
文献类型:
--
作者:
牛砚 (第一作者兼通讯作者);Dick;Anthony;Brooks, Michael
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.
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影响因子:
3.3
作者:
L. Pizarro;P. Mrázek;S. Didas;Sven Grewenig;J. Weickert
通讯作者:
L. Pizarro;P. Mrázek;S. Didas;Sven Grewenig;J. Weickert
DOI:
10.1023/b:visi.0000029664.99615.94
发表时间:
2004-11-01
影响因子:
19.5
作者:
Lowe, DG
通讯作者:
Lowe, DG
DOI:
10.1109/cvpr.2010.5539953
发表时间:
2010-06
期刊:
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
影响因子:
--
作者:
Kyong Joon Lee;Dongjin Kwon;I. Yun;Sang Uk Lee
通讯作者:
Kyong Joon Lee;Dongjin Kwon;I. Yun;Sang Uk Lee
DOI:
10.5860/choice.34-1602
发表时间:
1996
期刊:
--
影响因子:
--
作者:
J. Navarro-Pedreño
通讯作者:
J. Navarro-Pedreño
DOI:
10.1109/cvpr.1996.517090
发表时间:
1996-06
期刊:
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
影响因子:
--
作者:
Shanon X. Ju;Michael J. Black;A. Jepson
通讯作者:
Shanon X. Ju;Michael J. Black;A. Jepson