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CVPR
2009
IEEE
1372views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Blind motion deblurring from a single image using sparse approximation
Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digital imaging. Existing blind deblurring techniques eithe...
Jian-Feng Cai (National University of Singapore), ...
CVPR
1997
IEEE
16 years 8 months ago
Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces
In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is inde...
Rikard Berthilsson, Anders Heyden, Gunnar Sparr
ICIP
2006
IEEE
16 years 8 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
AAAI
2008
15 years 8 months ago
Make3D: Depth Perception from a Single Still Image
Humans have an amazing ability to perceive depth from a single still image; however, it remains a challenging problem for current computer vision systems. In this paper, we will p...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
CVPR
2003
IEEE
16 years 8 months ago
Estimating the photorealism of images: Distinguishing paintings from photographs
Automatic classification of an image as a photograph of a real-scene or as a painting is potentially useful for image retrieval and website filtering applications. The main contri...
Florin Cutzu, Riad I. Hammoud, Alex Leykin