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» Denoising image sequences does not require motion estimation
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ICIP
2005
IEEE
14 years 10 months ago
Simultaneous super-resolution for video sequences
In this work, we propose a new super-resolution algorithm to simultaneously estimate all frames of a video sequence. The new algorithm is based on the Bayesian maximum a posterior...
Joceli Mayer, Marcelo Victor Wüst Zibetti
PAMI
2007
108views more  PAMI 2007»
13 years 8 months ago
Space-Time Adaptation for Patch-Based Image Sequence Restoration
—We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-...
Jérôme Boulanger, Charles Kervrann, P...
ICIP
2008
IEEE
14 years 10 months ago
A block-based super-resolution for video sequences
An algorithm for video resolution enhancement is presented. The approach borrows from previous methods for still-image superresolution, introducing modifications better suited for...
Ryan S. Prendergast, Truong Q. Nguyen
ICRA
2009
IEEE
190views Robotics» more  ICRA 2009»
14 years 3 months ago
Whole body motion primitive segmentation from monocular video
Abstract— This paper proposes a novel approach for motion primitive segmentation from continuous full body human motion captured on monocular video. The proposed approach does no...
Dana Kulic, Dongheui Lee, Yoshihiko Nakamura
CVPR
2006
IEEE
14 years 2 months ago
Estimating Intrinsic Component Images using Non-Linear Regression
Images can be represented as the composition of multiple intrinsic component images, such as shading, albedo, and noise images. In this paper, we present a method for estimating i...
Marshall F. Tappen, Edward H. Adelson, William T. ...