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» Robust Computer Vision: An Interdisciplinary Challenge
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CVPR
2010
IEEE
1192views Computer Vision» more  CVPR 2010»
14 years 4 months ago
RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images
This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of im...
Yigang Peng, Arvind Balasubramanian, John Wright, ...
ICCV
2009
IEEE
13 years 5 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
ICB
2009
Springer
190views Biometrics» more  ICB 2009»
14 years 2 months ago
Robust Human Detection under Occlusion by Integrating Face and Person Detectors
Human detection under occlusion is a challenging problem in computer vision. We address this problem through a framework which integrates face detection and person detection. We ï¬...
William Robson Schwartz, Raghuraman Gopalan, Rama ...
CVPR
2012
IEEE
11 years 10 months ago
Discrete texture traces: Topological representation of geometric context
Modeling representations of image patches that are quasi-invariant to spatial deformations is an important problem in computer vision. In this paper, we propose a novel concept, t...
Jan Ernst, Maneesh Kumar Singh, Visvanathan Ramesh
CVPR
2012
IEEE
11 years 10 months ago
Example-based 3D object reconstruction from line drawings
Recovering 3D geometry from a single 2D line drawing is an important and challenging problem in computer vision. It has wide applications in interactive 3D modeling from images, c...
Tianfan Xue, Jianzhuang Liu, Xiaoou Tang