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» Application of Level Set Methods in Computer Vision
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CVPR
1999
IEEE
16 years 7 months ago
Algebraic Curves That Work Better
An algebraic curve is defined as the zero set of a polynomial in two variables. Algebraic curves are practical for modeling shapes much more complicated than conics or su...
David B. Cooper, Jean-Philippe Tarel, Tolga Tasdiz...
ICPR
2008
IEEE
16 years 22 days ago
Robust estimation of foreground in surveillance videos by sparse error estimation
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
Mert Dikmen, Thomas S. Huang
CVPR
2006
IEEE
16 years 11 days ago
Particle Video: Long-Range Motion Estimation using Point Trajectories
This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a longduration t...
Peter Sand, Seth J. Teller
ICPR
2010
IEEE
15 years 8 months ago
Using Spatial Relations for Graphical Symbol Description
—In this paper, we address the use of unified spatial relations for symbol description. We present a topologically guided directional relation signature. It references a unique ...
Santosh K. C., Laurent Wendling, Bart Lamiroy
CVPR
2005
IEEE
16 years 8 months ago
A Direct Method for Modeling Non-Rigid Motion with Thin Plate Spline
Thin plate spline (TPS) transformations have been applied to non-rigid shape matching with impressive results. However, existing methods often use a sparse set of point correspond...
Jongwoo Lim, Ming-Hsuan Yang