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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 5 months ago
Gigapixel Binary Sensing: Image Acquisition Using Oversampled One-Bit Poisson Statistics
We study a new gigapixel image sensor that is reminiscent of traditional photographic film. Each pixel in the sensor has a binary response, giving only a one-bit quantized measur...
Feng Yang, Yue M. Lu, Luciano Sbaiz, Martin Vetter...
ICIP
2001
IEEE
16 years 3 months ago
Multibit digital watermarking robust against local nonlinear geometrical distortions
This paper presents an efficient method for the estimation and recovering from nonlinear or local geometrical distortions, such as the random bending attack and restricted project...
Frédéric Deguillaume, Sviatoslav Vol...
PR
2008
218views more  PR 2008»
15 years 1 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes
IROS
2006
IEEE
209views Robotics» more  IROS 2006»
15 years 8 months ago
A Toolbox for Easily Calibrating Omnidirectional Cameras
- In this paper, we present a novel technique for calibrating central omnidirectional cameras. The proposed procedure is very fast and completely automatic, as the user is only ask...
Davide Scaramuzza, Agostino Martinelli, Roland Sie...
EJASP
2010
133views more  EJASP 2010»
14 years 8 months ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...