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CVPR
2007
IEEE
15 years 11 months ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
TMI
1998
122views more  TMI 1998»
14 years 9 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka
CVPR
2012
IEEE
12 years 12 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
TIP
2002
179views more  TIP 2002»
14 years 9 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
3DIM
2005
IEEE
15 years 3 months ago
A MRF Formulation for Coded Structured Light
Multimedia projectors and cameras make possible the use of structured light to solve problems such as 3D reconstruction, disparity map computation and camera or projector calibrat...
Jean-Philippe Tardif, Sébastien Roy