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» Feature versus model based noise robustness
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MVA
2002
13 years 7 months ago
Automatic Feature Extraction from non-uniform Finger Vein Image and its Application to Personal Identification
A new method to extract vein patterns from an unclear finger image is proposed. Finger vein pattern can be used for personal identification technology. The finger vein image that ...
Naoto Miura, Akio Nagasaka, Takafumi Miyatake
TSP
2008
117views more  TSP 2008»
13 years 7 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman
SIAMIS
2011
12 years 10 months ago
Level Set Based Multispectral Segmentation with Corners
In this paper we propose an active contour model for segmentation based on the Chan-Vese model. The new model can capture inherent sharp features, i.e., the sharp corners of object...
Wenhua Gao, Andrea L. Bertozzi
MVA
2007
121views Computer Vision» more  MVA 2007»
13 years 9 months ago
Tracking Features with Global Motion Compensation for Drone Camera Servoing
This paper deals with visual servoing for a pan and tilt camera embedded in a drone. Video is transmitted to the ground where images are processed on a PC, and turret controls are...
Benoît Louvat, Laurent Bonnaud, Nicolas Marc...
GFKL
2007
Springer
139views Data Mining» more  GFKL 2007»
14 years 1 months ago
The Noise Component in Model-based Cluster Analysis
The so-called noise-component has been introduced by Banfield and Raftery (1993) to improve the robustness of cluster analysis based on the normal mixture model. The idea is to ad...
Christian Hennig, Pietro Coretto