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Displaying 1-6 out of 6 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...
Optical Flow via Locally Adaptive Fusion of Complementary Data Costs
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Tae Hyun Kim,Hee Seok Lee,Kyoung Mu Lee
Issue Date:December 2013
pp. 3344-3351
Many state-of-the-art optical flow estimation algorithms optimize the data and regularization terms to solve ill-posed problems. In this paper, in contrast to the conventional optical flow framework that uses a single or fixed data model, we study a novel ...
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...
Virtual and Knowledge-based Organizations
Found in: Hawaii International Conference on System Sciences
By Young-Gul Kim, Hee-Seok Lee, Ingoo Han
Issue Date:January 2001
pp. 7069
The explosive growth of the virtual space such as Internet and on-line service networks as well as proprietary corporate networks will change the business environment of the 21st century fundamentally. Capability of the instantaneous communication among bu...
Dense 3D Reconstruction from Severely Blurred Images Using a Single Moving Camera
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Hee Seok Lee,Kuoung Mu Lee
Issue Date:June 2013
pp. 273-280
Motion blur frequently occurs in dense 3D reconstruction using a single moving camera, and it degrades the quality of the 3D reconstruction. To handle motion blur caused by rapid camera shakes, we propose a blur-aware depth reconstruction method, which uti...
Simultaneous Super-Resolution of Depth and Images Using a Single Camera
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Hee Seok Lee,Kuoung Mu Lee
Issue Date:June 2013
pp. 281-288
In this paper, we propose a convex optimization framework for simultaneous estimation of super-resolved depth map and images from a single moving camera. The pixel measurement error in 3D reconstruction is directly related to the resolution of the images a...