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PAMI
2010
146views more  PAMI 2010»
15 years 5 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
PCM
2010
Springer
239views Multimedia» more  PCM 2010»
15 years 4 months ago
Adaptive Particle Filter Based on Energy Field for Robust Object Tracking in Complex Scenes
Particle filter (PF) based object tracking methods have been widely used in computer vision. However, traditional particle filter trackers cannot effectively distinguish the target...
Xin Sun, Hongxun Yao, Shengping Zhang, Shaohui Liu
CVPR
2010
IEEE
16 years 3 months ago
Relaxing the 3L algorithm for an accurate implicit polynomial fitting
This paper presents a novel method to increase the accuracy of linear fitting of implicit polynomials. The proposed method is based on the 3L algorithm philosophy. The novelty l...
Mohammad Rouhani and Angel D. Sappa
CVPR
2004
IEEE
16 years 8 months ago
Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
We propose a novel approach to point matching under large viewpoint and illumination changes that is suitable for accurate object pose estimation at a much lower computational cos...
Vincent Lepetit, Julien Pilet, Pascal Fua
CVPR
2006
IEEE
16 years 8 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...