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» Application of Level Set Methods in Computer Vision
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CVPR
2005
IEEE
16 years 9 months ago
Camera Calibration and Light Source Estimation from Images with Shadows
In this paper, we describe how camera parameters and light source orientation can be recovered from two perspective views of a scene given only two vertical lines and their cast s...
Xiaochun Cao, Mubarak Shah
ICPR
2008
IEEE
16 years 8 months ago
Superresolution and blind deconvolution of video
In many real applications traditional superresolution methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of input low-resolution ...
Filip Sroubek, Jan Flusser, Michal Sorel
ICPR
2004
IEEE
16 years 8 months ago
Sequence Recognition with Scanning N-Tuple Ensembles
The Scanning N-Tuple classifier (SNT) is a fast and accurate method for classifying sequences. Applications include both on-line and off-line hand-written character recognition. S...
Simon M. Lucas, Tzu-Kuo Huang
ICPR
2002
IEEE
16 years 8 months ago
Linear and Non-Linear Model for Statistical Localization of Landmarks
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and s...
Barbara Romaniuk, Michel Desvignes, Marinette Reve...
CVPR
2010
IEEE
16 years 3 months ago
Convex Shape Decomposition
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
Liu Hairong, Longin Jan Latecki, Liu Wenyu