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» A New Bayesian Method for Range Image Segmentation
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PAMI
2006
358views more  PAMI 2006»
13 years 9 months ago
Recovering 3D Human Pose from Monocular Images
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 pri...
Ankur Agarwal, Bill Triggs
TIP
2008
152views more  TIP 2008»
13 years 9 months ago
Localizing Region-Based Active Contours
Abstract--In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global im...
Shawn Lankton, Allen Tannenbaum
ICCV
2007
IEEE
14 years 11 months ago
Finding a Closed Boundary by Growing Minimal Paths from a Single Point on 2D or 3D Images
In this paper, we present a new method for segmenting closed contours and surfaces. Our work builds on a variant of the Fast Marching algorithm. First, an initial point on the des...
Fethallah Benmansour, Stephane Bonneau, Laurent D....
ICIP
2001
IEEE
14 years 10 months ago
Observer motion estimation and control from optical flow
The information conveyed by optical flow is analytically linked to the observer motion in this paper by decomposing the optical flow field into its vector field components. It is ...
Liangyin Yu, Charles R. Dyer
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 3 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...