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» Robust Computer Vision through Kernel Density Estimation
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BMVC
2001
15 years 2 days ago
Robust Registration of 2D and 3D Point Sets
This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose non-linear optimization (the Levenberg–Marquardt...
Andrew W. Fitzgibbon
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
15 years 1 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
ECCV
2002
Springer
15 years 11 months ago
Multimodal Data Representations with Parameterized Local Structures
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...
CVPR
2010
IEEE
15 years 5 months ago
Robust Flash Deblurring
Motion blur due to camera shake is a annoying problem in low-light photography. In this paper, we propose a novel method to recover a sharp image from a pair of motion blurred and ...
Shaojie Zhuo, Dong Guo and Terence Sim
ACIVS
2009
Springer
15 years 4 months ago
Multiple Human Tracking in High-Density Crowds
Abstract. In this paper, we present a fully automatic approach to multiple human detection and tracking in high density crowds in the presence of extreme occlusion. Human detection...
Irshad Ali, Matthew N. Dailey