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ICPR
2010
IEEE
13 years 10 months ago
An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation
Superresolution is a technique to recover a highresolution image from a low resolution image . We develop a variational superresolution method for the subpixel accurate optical ...
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya,...
MICCAI
2009
Springer
14 years 7 months ago
A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives
In this paper we present a novel method for performing image registration of different modalities. Mutual Information (MI) is an established method for performing such registration...
Philip A. Legg, Paul L. Rosin, A. David Marshall, ...
IJCV
2000
133views more  IJCV 2000»
13 years 9 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
ICCV
2001
IEEE
14 years 11 months ago
Noise in Bilinear Problems
: Despite the wide application of bilinear problems to problems both in computer vision and in other fields, their behaviour under the effects of noise is still poorly understood. ...
John A. Haddon, David A. Forsyth
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 4 months ago
Revisiting uncertainty analysis for optimum planes extracted from 3D range sensor point-clouds
—In this work, we utilize a recently studied more accurate range noise model for 3D sensors to derive from scratch the expressions for the optimum plane which best fits a point-...
Kaustubh Pathak, Narunas Vaskevicius, Andreas Birk...