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» On the Spatial Statistics of Optical Flow
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BMVC
1998
13 years 6 months ago
Comparing Different Template Features for Recognizing People by their Gait
To recognize people by their gait from a sequence of images, we have proposed a statistical approach which combined eigenspace transformation (EST) with canonical space transforma...
Ping S. Huang, Chris J. Harris, Mark S. Nixon
ISVC
2009
Springer
13 years 12 months ago
Two Step Variational Method for Subpixel Optical Flow Computation
We develop an algorithm for the super-resolution optical flow computation by combining variational super-resolution and the variational optical flow computation. Our method firs...
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya,...
CVPR
2008
IEEE
14 years 7 months ago
Local grouping for optical flow
Optical flow estimation requires spatial integration, which essentially poses a grouping question: what points belong to the same motion and what do not. Classical local approache...
Xiaofeng Ren
BMVC
2010
13 years 14 days ago
Toward robust estimation of specular flow
Specular flow is an important class of optical flow whose utility in visual tasks has gained much interest in contemporary vision research. Unfortunately, however, reliably estima...
Yair Adato, Todd Zickler, Ohad Ben-Shahar
BMVC
1998
13 years 6 months ago
Spatial Filtering Requirements for Gradient-Based Optical Flow Measurement
When using a gradient-basedmethod to determine the optical flow field for an image sequence, it is generally appreciated that some spatial pre-filtering of the images is usually n...
William J. Christmas