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354
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ICCV
2011
IEEE
14 years 3 months ago
Tracking by Sampling Trackers
We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world trac...
junseok kwon and kyoung mu lee
CVPR
2007
IEEE
16 years 4 months ago
Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images Using Non-local Pixel Distribution
In this paper, we propose a new algorithm that solves both the stereo matching and the image denoising problem simultaneously for a pair of noisy stereo images. Most stereo algorit...
Yong Seok Heo (Seoul National University), Kyoung ...
188
Voted
IROS
2007
IEEE
179views Robotics» more  IROS 2007»
16 years 13 days ago
Stereo-based 6D object localization for grasping with humanoid robot systems
Abstract— Robust vision-based grasping is still a hard problem for humanoid robot systems. When being restricted to using the camera system built-in into the robot’s head for o...
Pedram Azad, Tamim Asfour, Rüdiger Dillmann
CVPR
2000
IEEE
15 years 10 months ago
Adaptive Bayesian Recognition in Tracking Rigid Objects
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
Yuri Boykov, Daniel P. Huttenlocher
235
Voted
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang