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ICASSP
2010
IEEE
14 years 8 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...
ICCV
2003
IEEE
15 years 11 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
ISBI
2008
IEEE
15 years 10 months ago
Blind deconvolution for diffraction-limited fluorescence microscopy
Optical Sections of biological samples obtained from a fluorescence Confocal Laser Scanning Microscopes (CLSM) are often degraded by out-of-focus blur and photon counting noise. S...
Praveen Pankajakshan, Bo Zhang, Laure Blanc-F&eacu...
CGVR
2006
14 years 11 months ago
Development of Stereoscopic Image Editing Tool using Image-Based Modeling
- In recent years, techniques have shown an increased interest in research and development related to stereoscopic imaging. However, unlike 2D image, stereoscopic image is generate...
Chang Ok Yun, Sang Heon Han, Tae Soo Yun, Dong Hoo...
CVPR
2009
IEEE
16 years 4 months ago
New Appearance Models for Natural Image Matting
Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene’s appearance is ne...
Dheeraj Singaraju (Johns Hopkins University), Cars...