65 search results - page 1 / 13 » Learning How to Inpaint from Global Image Statistics |
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
Inpainting is the problem of filling-in holes in images. Considerable progress has been made by techniques that use the immediate boundary of the hole and some prior information o...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Abstract We present the first method to handle curvature regularity in region-based image segmentation and inpainting that is independent of initialization. To this end we start f...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...