Search For:

Displaying 1-4 out of 4 total
A Geometric Particle Filter for Template-Based Visual Tracking
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Junghyun Kwon, Hee Seok Lee,Frank C. Park, Kyoung Mu Lee
Issue Date:April 2014
pp. 625-643
Existing approaches to template-based visual tracking, in which the objective is to continuously estimate the spatial transformation parameters of an object template over video frames, have primarily been based on deterministic optimization, which as is we...
 
Simultaneous localization, mapping and deblurring
Found in: Computer Vision, IEEE International Conference on
By Hee Seok Lee,Junghyun Kwon,Kyoung Mu Lee
Issue Date:November 2011
pp. 1203-1210
Handling motion blur is one of important issues in visual SLAM. For a fast-moving camera, motion blur is an unavoidable effect and it can degrade the results of localization and reconstruction severely. In this paper, we present a unified algorithm to hand...
 
Monocular SLAM with locally planar landmarks via geometric rao-blackwellized particle filtering on Lie groups
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Junghyun Kwon, Kyoung Mu Lee
Issue Date:June 2010
pp. 1522-1529
We propose a novel geometric Rao-Blackwellized particle filtering framework for monocular SLAM with locally planar landmarks. We represent the states for the camera pose and the landmark plane normal as SE(3) and SO(3), respectively, which are both Lie gro...
 
Visual tracking via geometric particle filtering on the affine group with optimal importance functions
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Junghyun Kwon, Kyoung Mu Lee, F.C. Park
Issue Date:June 2009
pp. 991-998
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinate-invariant particle filtering on the 2-D affine group Aff(2). Tracking performance is furthe...
 
 1