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» Single Image Deblurring Using Motion Density Functions
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CVPR
2005
IEEE
15 years 11 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
HVEI
2009
14 years 7 months ago
Towards a true spherical camera
We present the design of a spherical imaging system with the following properties: (i) A 4 field of view that enables it to "see" in all directions; (ii) a single center...
Gurunandan Krishnan, Shree K. Nayar
SSIAI
2000
IEEE
15 years 2 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
CVPR
1997
IEEE
15 years 1 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
CVPR
2008
IEEE
15 years 11 months ago
PSF estimation using sharp edge prediction
Image blur is caused by a number of factors such as motion, defocus, capturing light over the non-zero area of the aperture and pixel, the presence of anti-aliasing filters on a c...
Neel Joshi, Richard Szeliski, David J. Kriegman