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DICTA
2009
14 years 7 months ago
Context-Based Appearance Descriptor for 3D Human Pose Estimation from Monocular Images
In this paper we propose a novel appearance descriptor for 3D human pose estimation from monocular images using a learning-based technique. Our image-descriptor is based on the int...
Suman Sedai, Mohammed Bennamoun, Du Q. Huynh
TIP
2008
139views more  TIP 2008»
14 years 9 months ago
Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy
Abstract--Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, t...
François Aguet, Dimitri Van De Ville, Micha...
ICIP
2003
IEEE
15 years 11 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
ICIP
2006
IEEE
15 years 4 months ago
Fast Iterative Adaptive Reconstruction in Low-Dose CT Imaging
in Proc. IEEE Int’l Conf. on Image Processing (ICIP), pp 889-892, 2006 Traditional iterative tomographic reconstruction methods resort to gradient decent methods and require sig...
Lin Cheng, Yunqiang Chen, Tong Fang, Jason Tyan
IBPRIA
2007
Springer
15 years 4 months ago
Blind Estimation of Motion Blur Parameters for Image Deconvolution
Abstract. This paper describes an approach to estimate the parameters of a motion blur (direction and length) directly form the observed image. The motion blur estimate can then be...
João P. Oliveira, Mário A. T. Figuei...