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» Background estimation from non-time sequence images
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SSIAI
2000
IEEE
15 years 4 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
SCIA
2007
Springer
15 years 5 months ago
Pseudo-real Image Sequence Generator for Optical Flow Computations
Abstract. The availability of ground-truth flow field is crucial for quantitative evaluation of any optical flow computation method. The fidelity of test data is also important...
Vladimír Ulman, Jan Hubený
ICIAP
2007
ACM
15 years 12 months ago
Face Shape Reconstruction from Image Sequence Taken with Monocular Camera using Shape Database
We propose a method for reconstructing 3D face shape from a camera, which captures the object face from various viewing angles. In this method, we do not directly reconstruct the ...
Hideo Saito, Yosuke Ito, Masaaki Mochimaru
PAMI
2006
225views more  PAMI 2006»
14 years 11 months ago
Robust Structure and Motion from Outlines of Smooth Curved Surfaces
: This article addresses the problem of estimating the motion of a camera as it observes the outline (or apparent contour) of a solid bounded by a smooth surface in successive imag...
Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J...
CVPR
2006
IEEE
16 years 1 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal