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» Computation Error Tolerance in Motion Estimation Algorithms
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ICARCV
2002
IEEE
110views Robotics» more  ICARCV 2002»
13 years 12 months ago
A novel robust method for large numbers of gross errors
In computer vision tasks, it frequently happens that gross noise occupies the absolute majority of the data. Most robust estimators can tolerate no more than 50% gross errors. In ...
Hanzi Wang, David Suter
ICIP
2005
IEEE
14 years 8 months ago
Misregistration errors in change detection algorithms and how to avoid them
Background subtraction is a popular algorithm for video object segmentation. It identifies foreground objects by comparing the input images with a pure background image. In camera...
Dirk Farin, Peter H. N. de With
ICPR
2006
IEEE
14 years 8 months ago
Real-time Camera Pose and Focal Length Estimation
This paper presents a novel approach to estimate the changing internal and external parameters of the camera in real time using a few 3D-2D point correspondences. We approach the ...
Sumit Jain, Ulrich Neumann
ECCV
1998
Springer
14 years 9 months ago
Computation of the Quadrifocal Tensor
This paper gives a practical and accurate algorithm for the computation of the quadrifocal tensor and extraction of camera matrices from it. Previous methods for using the quadrifo...
Richard I. Hartley
ICPR
2008
IEEE
14 years 8 months ago
Motion estimation approach based on dual-tree complex wavelets
The loss of information due to occlusion and other complications has been one of the main bottlenecks in the field of motion estimation. In this paper, we propose a novel motion e...
Changzhu Wu, Hongxiao Wang, Qing Wang