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» Modeling non-gaussian noise for robust image analysis
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ICIP
2006
IEEE
14 years 9 months ago
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
Weihong Guo, Yunmei Chen
PAMI
2010
135views more  PAMI 2010»
13 years 6 months ago
A Variational Approach to Degraded Document Enhancement
—The goal of this paper is to correct bleed-through in degraded documents using a variational approach. The variational model is adapted using an estimated background according t...
Reza Farrahi Moghaddam, Mohamed Cheriet
IJCV
2000
230views more  IJCV 2000»
13 years 7 months ago
Design and Use of Linear Models for Image Motion Analysis
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
ISQED
2003
IEEE
303views Hardware» more  ISQED 2003»
14 years 28 days ago
Design and Analysis of Low-Voltage Current-Mode Logic Buffers
- This paper investigates important problems involved in the design of a CML buffer as well as a chain of tapered CML buffers. A new design procedure to systematically design a cha...
Payam Heydari
DAGM
2006
Springer
13 years 11 months ago
Analysis on a Local Approach to 3D Object Recognition
Abstract. We present a method for 3D object modeling and recognition which is robust to scale and illumination changes, and to viewpoint variations. The object model is derived fro...
Elisabetta Delponte, Elise Arnaud, Francesca Odone...