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» Deriving Intrinsic Images from Image Sequences
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ICCV
2005
IEEE
16 years 8 months ago
A Stochastic Filter for Fluid Motion Tracking
In this paper we present a method for the tracking of fluid flows velocity fields. The technique we propose is formalized within sequential Bayesian filter framework. The filter w...
Anne Cuzol, Étienne Mémin
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 8 months ago
A Compression Based Distance Measure for Texture
The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...
Bilson J. L. Campana, Eamonn J. Keogh
MICCAI
2009
Springer
16 years 7 months ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
CVPR
2007
IEEE
16 years 8 months ago
Toward Flexible 3D Modeling using a Catadioptric Camera
Fully automatic 3D modeling from a catadioptric image sequence has rarely been addressed until now, although this is a long-standing problem for perspective images. All previous c...
Maxime Lhuillier
ACCV
2006
Springer
16 years 20 days ago
Tracking with the Kinematics of Extremal Contours
Abstract. This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on an explicit parameterization of the extremal con...
David Knossow, Rémi Ronfard, Radu Horaud, F...