Sciweavers

132 search results - page 3 / 27
» Denoising image sequences does not require motion estimation
Sort
View
CVPR
2001
IEEE
14 years 7 months ago
Combining Two-view Constraints For Motion Estimation
In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of images, the global motion can be described by ???? independent m...
Venu Madhav Govindu
ICIP
2001
IEEE
14 years 7 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
ICCV
2001
IEEE
14 years 7 months ago
Accurate Optical Flow in Noisy Image Sequences
Optical Flow estimation in noisy image sequences requires a special denoising strategy. Towards this end we introduce a new tensor-driven anisotropic diffusion scheme which is des...
Hagen Spies, Hanno Scharr
CVPR
2009
IEEE
15 years 27 days ago
Multiple View Image Denoising
We present a novel multi-view denoising algorithm. Our algorithm takes noisy images taken from different viewpoints as input and groups similar patches in the input images using ...
Hailin Jin, Li Zhang, Shree K. Nayar, Sundeep Vadd...
CVPR
2010
IEEE
14 years 2 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