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» Two-Phase Kernel Estimation for Robust Motion Deblurring
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PAMI
2010
146views more  PAMI 2010»
13 years 6 months ago
A Generalized Kernel Consensus-Based Robust Estimator
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
Hanzi Wang, Daniel Mirota, Gregory D. Hager
PAMI
2012
11 years 10 months ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter
PAMI
2006
147views more  PAMI 2006»
13 years 7 months ago
Full-Frame Video Stabilization with Motion Inpainting
Video stabilization is an important video enhancement technology which aims at removing annoying shaky motion from videos. We propose a practical and robust approach of video stabi...
Yasuyuki Matsushita, Eyal Ofek, Weina Ge, Xiaoou T...
CVPR
2005
IEEE
14 years 9 months ago
Full-Frame Video Stabilization
Video stabilization is an important video enhancement technology which aims at removing annoying shaky motion from videos. We propose a practical and robust approach of video stab...
Yasuyuki Matsushita, Eyal Ofek, Xiaoou Tang, Heung...
CVPR
2005
IEEE
14 years 9 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