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ICASSP
2010
IEEE
13 years 5 months ago
An efficient particle filtering technique on the Grassmann manifold
Subspace tracking methods are widespread in signal and image processing. To reduce the influence of perturbations or outliers on the measurements, some authors have used a stocha...
Quentin Rentmeesters, Pierre-Antoine Absil, Paul V...
CVPR
2008
IEEE
14 years 6 months ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
AVSS
2009
IEEE
13 years 8 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
CVPR
2007
IEEE
14 years 6 months ago
Discontinuity Preserving Filtering over Analytic Manifolds
Discontinuity preserving filtering of images is an important low-level vision task. With the development of new imaging techniques like diffusion tensor imaging (DTI), where the d...
Raghav Subbarao, Peter Meer
TIP
2008
175views more  TIP 2008»
13 years 4 months ago
Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering
Abstract--In this paper, we analyze the computational challenges in implementing particle filtering, especially to video sequences. Particle filtering is a technique used for filte...
Aswin C. Sankaranarayanan, Ankur Srivastava, Rama ...