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CVPR
2003
IEEE
15 years 11 months ago
A Novel Model for Orientation Field of Fingerprints
As a global feature of fingerprint, orientation field is very important to automatic fingerprint identification system (AFIS). Establishing an accurate and concise model for orien...
Jinwei Gu, Jie Zhou
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
14 years 7 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
ICPR
2000
IEEE
15 years 10 months ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland
BC
2005
64views more  BC 2005»
14 years 9 months ago
Waves, bumps, and patterns in neural field theories
Neural field models of firing rate activity have had a major impact in helping to develop an understanding of the dynamics seen in brain slice preparations. These models typically...
Stephen Coombes
AROBOTS
2002
130views more  AROBOTS 2002»
14 years 9 months ago
Dynamic Motion Planning for Mobile Robots Using Potential Field Method
The potential field method is widely used for autonomous mobile robot path planning due to its elegant mathematical analysis and simplicity. However, most researches have been focu...
Shuzhi Sam Ge, Youjing Cui