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» Feature extraction and tracking for scanning range sensors
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PAMI
2007
157views more  PAMI 2007»
14 years 9 months ago
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
—Fingerprint friction ridge details are generally described in a hierarchical order at three different levels, namely, Level 1 (pattern), Level 2 (minutia points), and Level 3 (p...
Anil K. Jain, Yi Chen, Meltem Demirkus
GI
2009
Springer
14 years 7 months ago
Combined Optimization of Aircraft Maneuvers and RF Measurements for Passive Air-Air Ranging
: When a tactical aircraft sets out on a mission in dense airborne and surface RF (radio frequency) emitter environment, the pilot desires to minimize the use of the onboard fire c...
Ronald Matthew Yannone, Melvin Carroll
ISER
2004
Springer
128views Robotics» more  ISER 2004»
15 years 3 months ago
Towards High-Fidelity On-Board Attitude Estimation for Legged Locomotion via a Hybrid Range and Inertial Approach
Legged robots display a characteristically periodic motion. Measuring and tracking this motion has traditionally been performed using general inertial measurement techniques. While...
Surya P. N. Singh, Kenneth J. Waldron
ICPR
2006
IEEE
15 years 11 months ago
Pores and Ridges: Fingerprint Matching Using Level 3 Features
Fingerprint friction ridge details are generally described in a hierarchical order at three levels, namely, Level 1 (pattern), Level 2 (minutiae points) and Level 3 (pores and rid...
Anil K. Jain, Meltem Demirkus, Yi Chen
CGF
2010
198views more  CGF 2010»
14 years 10 months ago
Feature Preserving Mesh Generation from 3D Point Clouds
We address the problem of generating quality surface triangle meshes from 3D point clouds sampled on piecewise smooth surfaces. Using a feature detection process based on the cova...
Nader Salman, Mariette Yvinec, Quentin Méri...