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» Background estimation from non-time sequence images
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CVPR
2005
IEEE
16 years 8 months ago
Radon-Based Structure from Motion without Correspondences
We present a novel approach for the estimation of 3Dmotion directly from two images using the Radon transform. We assume a similarity function defined on the crossproduct of two i...
Ameesh Makadia, Christopher Geyer, Shankar Sastry,...
CVPR
2012
IEEE
13 years 8 months ago
Depth from optical turbulence
Turbulence near hot surfaces such as desert terrains and roads during the summer, causes shimmering, distortion and blurring in images. While recent works have focused on image re...
Yuandong Tian, Srinivasa G. Narasimhan, Alan J. Va...
FTCGV
2007
511views more  FTCGV 2007»
15 years 6 months ago
Image and Video Matting: A Survey
Matting refers to the problem of accurate foreground estimation in images and video. It is one of the key techniques in many image editing and film production applications, thus ...
Jue Wang, Michael F. Cohen
CVPR
2011
IEEE
15 years 1 months ago
A Complete Statistical Inverse Ray Tracing Approach to Multi-view Stereo
This paper presents a complete solution to estimating a scene’s 3D geometry and appearance from multiple 2D images by using a statistical inverse ray tracing method. Instead of ...
Shubao Liu, David Cooper
ICIP
2009
IEEE
16 years 7 months ago
Efficient Motion Compensated Frame Rate Upconversion Using Multiple Interpolations And Median Filtering
Methods for motion compensated frame rate upconversion exploit motion in order to generate interpolated frames that are temporally located between the available original frames of...