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» Accurate Optical Flow in Noisy Image Sequences
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CVPR
2010
IEEE
15 years 6 months ago
Denoising vs. Deblurring: HDR Imaging Techniques Using Moving Cameras
New cameras such as the Canon EOS 7D and Pointgrey Grasshopper have 14-bit sensors. We present a theoretical analysis and a practical approach that exploit these new cameras with ...
Li Zhang, Alok Deshpande, Xin Chen
CRV
2004
IEEE
146views Robotics» more  CRV 2004»
15 years 1 months ago
Estimating Camera Motion through a 3D Cluttered Scene
Previous methods for estimating the motion of an observer through a static scene require that image velocities can be measured. For the case of motion through a cluttered 3D scene...
Richard Mann, Michael S. Langer
CVPR
2010
IEEE
15 years 6 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
2009
IEEE
190views Robotics» more  ICRA 2009»
15 years 4 months ago
Whole body motion primitive segmentation from monocular video
Abstract— This paper proposes a novel approach for motion primitive segmentation from continuous full body human motion captured on monocular video. The proposed approach does no...
Dana Kulic, Dongheui Lee, Yoshihiko Nakamura
CVPR
2001
IEEE
15 years 12 months ago
Tracking and Modeling Non-Rigid Objects with Rank Constraints
This paper presents a novel solution for flow-based tracking and 3D reconstruction of deforming objects in monocular image sequences. A non-rigid 3D object undergoing rotation and...
Lorenzo Torresani, Danny B. Yang, Eugene J. Alexan...