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ITIIS
2010
240views more  ITIIS 2010»
13 years 9 months ago
Super-Resolution Iris Image Restoration using Single Image for Iris Recognition
Iris recognition is a biometric technique which uses unique iris patterns between the pupil and sclera. The advantage of iris recognition lies in high recognition accuracy; howeve...
Kwang Yong Shin, Byung Jun Kang, Kang Ryoung Park
VLBV
2005
Springer
14 years 4 months ago
Efficient Digital Pre-filtering for Least-Squares Linear Approximation
In this paper we propose a very simple FIR pre-filter based method for near optimal least-squares linear approximation of discrete time signals. A digital pre-processing filter,...
Marco Dalai, Riccardo Leonardi, Pierangelo Miglior...
DELTA
2010
IEEE
14 years 4 months ago
Least-squares Optimal Interpolation for Fast Image Super-resolution
—Image super-resolution is generally regarded as consisting of three steps – image registration, fusion, and deblurring. This paper presents a novel technique for resampling a ...
Andrew Gilman, Donald G. Bailey, Stephen Marsland
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
14 years 5 months ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
SADM
2008
178views more  SADM 2008»
13 years 10 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon