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» A New Method for Computing Optical Flow
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CVPR
2010
IEEE
14 years 4 months ago
Recovering Fluid-type Motions Using Navier-Stokes Potential Flow
The classical optical flow assumes that a feature point maintains constant brightness across the frames. For fluidtype motions such as smoke or clouds, the constant brightness ass...
Feng Li, Liwei Xu, Philippe Guyenne, Jingyi Yu
ICRA
2005
IEEE
161views Robotics» more  ICRA 2005»
14 years 1 months ago
Leveraging Limited Autonomous Mobility to Frame Attractive Group Photos
- Robot photographers have appeared in a variety of novelty settings over the past few years and typically have exploited rudimentary image-content-based approaches to identifying ...
Jason Campbell, Padmanabhan Pillai
CEE
2010
119views more  CEE 2010»
13 years 8 months ago
Block-matching-based motion field generation utilizing directional edge displacement
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
Hitoshi Hayakawa, Tadashi Shibata
VCIP
2001
199views Communications» more  VCIP 2001»
13 years 9 months ago
Estimation of large-amplitude motion and disparity fields: application to intermediate view reconstruction
This paper describes a method for establishing dense correspondence between two images in a video sequence (motion) or in a stereo pair (disparity) in case of large displacements....
Moustapha Kardouchi, Janusz Konrad, Carlos V&aacut...
CVPR
2003
IEEE
14 years 10 months ago
Practical Super-Resolution from Dynamic Video Sequences
This paper introduces a practical approach for superresolution, the process of reconstructing a high-resolution image from the low-resolution input ones. The emphasis of our work ...
Zhongding Jiang, Tien-Tsin Wong, Hujun Bao