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CVPR
2003
IEEE
15 years 11 months ago
Mean-shift Blob Tracking through Scale Space
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
Robert T. Collins
ECCV
2006
Springer
15 years 11 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang
CVPR
2005
IEEE
15 years 11 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
DAGM
2009
Springer
15 years 4 months ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
IPAS
2007
15 years 5 days ago
Color filter array interpolation based on spatial adaptivity
Conventional approach in single-chip digital cameras is a use of color lter arrays (CFA) in order to sample di erent spectral components. Demosaicing algorithms interpolate these ...
Dmitriy Paliy, Radu Ciprian Bilcu, Vladimir Katkov...