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» An evaluation of image based steganography methods
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171
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ICCV
1999
IEEE
16 years 2 months ago
Optimal Filters for Gradient-based Motion Estimation
Gradient based approaches for motion estimation (Optical-Flow) estimate the motion of an image sequence based on local changes in the image intensities. In order to best evaluate ...
Michael Elad, Patrick C. Teo, Yacov Hel-Or
143
Voted
CVPR
2004
IEEE
16 years 2 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
90
Voted
CBMS
2004
IEEE
15 years 4 months ago
Partial Shape Matching of Spine X-Ray Shapes Using Dynamic Programming
The osteophyte shows only on some particular locations on the vertebra. This indicates that other locations on the vertebra shape contain that are not of interest hinder the spine...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
107
Voted
BMCBI
2004
208views more  BMCBI 2004»
15 years 18 days ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
127
Voted
ACCV
2010
Springer
14 years 7 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan