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» Estimating space-variant motion blur without deblurring
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ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
13 years 12 months ago
A visual odometry framework robust to motion blur
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
Alberto Pretto, Emanuele Menegatti, Maren Bennewit...
PAMI
2008
243views more  PAMI 2008»
13 years 5 months ago
Shape from Defocus via Diffusion
Defocus can be modeled as a diffusion process and represented mathematically using the heat equation, where image blur corresponds to the diffusion of heat. This analogy can be ext...
Paolo Favaro, Stefano Soatto, Martin Burger, Stanl...
CVPR
2010
IEEE
14 years 1 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
ICIP
2010
IEEE
13 years 3 months ago
Single image deblurring with adaptive dictionary learning
We propose a motion deblurring algorithm that exploits sparsity constraints of image patches using one single frame. In our formulation, each image patch is encoded with sparse co...
Zhe Hu, Jia-Bin Huang, Ming-Hsuan Yang
ICIP
2006
IEEE
14 years 7 months ago
Tracking Motion-Blurred Targets in Video
Many emerging applications require tracking targets in video. Most existing visual tracking methods do not work well when the target is motion-blurred (especially due to fast moti...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...