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» Algorithmic Fusion for More Robust Feature Tracking
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ICASSP
2008
IEEE
15 years 4 months ago
Robust pose estimation based on Sylvester's equation: Single and multiple collaborative cameras
A method is introduced to track the object’s motion and estimate its pose from multiple cameras. Firstly pose estimation from one camera is explained. We show that pose estimati...
Chong Chen, Dan Schonfeld, Magdi A. Mohamed
TASE
2011
IEEE
14 years 4 months ago
WireWarping++: Robust and Flexible Surface Flattening With Length Control
— Surface flattening has numerous applications in sheet manufacturing industries, such as garment industry, shoe industry, toy industry, furniture industry and ship industry. Mo...
Yunbo Zhang, Charlie C. L. Wang
ICCV
2009
IEEE
14 years 7 months ago
Non-rigid object localization and segmentation using eigenspace representation
This paper presents a novel non-rigid object localization and segmentation algorithm using an eigenspace representation. Previous approaches to eigenspace methods for object track...
Omar Arif, Patricio A. Vela
WACV
2005
IEEE
15 years 3 months ago
Epipolar Constraints for Vision-Aided Inertial Navigation
— This paper describes a new method to improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of tim...
David D. Diel, Paul DeBitetto, Seth J. Teller
CVPR
2001
IEEE
15 years 11 months ago
Scene-Consistent Detection of Feature Points in Video Sequences
Detection of feature points in images is an important preprocessing stage for many algorithms in Computer Vision. We address the problem of detection of feature points in video se...
Ariel Tankus, Yehezkel Yeshurun