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» Robust Computer Vision through Kernel Density Estimation
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ECCV
2008
Springer
14 years 9 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
CVPR
2009
IEEE
1094views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Uncalibrated Synthetic Aperture Photography for Defocus Control
Exaggerated defocus cannot be achieved with an ordinary compact digital camera because of its tiny sensor size, so taking pictures that draw the attention of a viewer to the subjec...
Natsumi Kusumoto, Shinsaku Hiura, Kosuke Sato
BMVC
1997
13 years 9 months ago
Further Five Point Fit Ellipse Fitting
The least squares method is the most commonly used technique for fitting an ellipse through a set of points. However, it has a low breakdown point, which means that it performs p...
Paul L. Rosin
CVPR
2003
IEEE
14 years 9 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
CVPR
2009
IEEE
13 years 11 months ago
High-quality curvelet-based motion deblurring from an image pair
One promising approach to remove motion deblurring is to recover one clear image using an image pair. Existing dual-image methods require an accurate image alignment between the i...
Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen