ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Automatic recovery of 3D human pose from monocular image sequences is a challenging and important research topic with numerous applications. Although current methods are able to r...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
In this paper we develop a spatio-temporal registration algorithm for cardiac MR image sequences. The algorithm has the ability to correct any spatial misalignment between the imag...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we propose a real-time method for tracking hands through image sequences. Our method combines efficiently calculated color likelihood maps with a state-ofthe-art int...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents a novel motion compensation approach for stabilizing video sequences captured by CMOS image sensors. Although a number of papers have been dedicated to the com...
ECCV
1996
Springer
14 years 6 months ago
1996
Springer
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
ICCV
1999
IEEE
14 years 6 months ago
1999
IEEE
In this paper we address the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context standard motion estimation techniques ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper we perform 3D face tracking on corrupted video sequences. We use a deformable model, combined with a predictive filter, to recover both the rigid transformations and...