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» A Projective Framework for Radiometric Image Analysis
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CVPR
2012
IEEE
11 years 10 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
PR
2002
104views more  PR 2002»
13 years 5 months ago
A geometric approach for the analysis and computation of the intrinsic camera parameters
The authors of this paper adopted the projected characteristics of the absolute conic in terms of the Pascal's theorem to propose an entirely new camera calibration method ba...
Eduardo Bayro-Corrochano, Bodo Rosenhahn
SIBGRAPI
2006
IEEE
13 years 11 months ago
Determining the branchings of 3D structures from respective 2D projections
This work describes a new framework for automatic extraction of 2D branching structures images obtained from 3D shapes, such as neurons and retinopathy images. The majority of met...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...
CVPR
2006
IEEE
14 years 7 months ago
A Projective Invariant for Textures
Image texture analysis has received a lot of attention in the past years. Researchers have developed many texture signatures based on texture measurements, for the purpose of uniq...
Cornelia Fermüller, Hui Ji, Yong Xu
TNN
2008
141views more  TNN 2008»
13 years 5 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...