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» Application of Level Set Methods in Computer Vision
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ITC
1994
IEEE
111views Hardware» more  ITC 1994»
15 years 11 months ago
Simulation Results of an Efficient Defect-Analysis Procedure
For obtaining a zero defect level, a high fault coverage with respect to the stuck-at fault model is often not sufficient as there are many defects that show a more complex behavi...
Olaf Stern, Hans-Joachim Wunderlich
BMVC
1997
15 years 9 months ago
Robust Recursive Structure and Motion Recovery under Affine Projection
In this paper we present an algorithm for structure and motion (SM) recovery under affine projection from video sequences. The algorithm tracks the motion of a single structure, b...
Miroslav Trajkovic, Mark Hedley
BMVC
2010
15 years 5 months ago
Object Recognition using 3D SIFT in Complex CT Volumes
The automatic detection of objects within complex volumetric imagery is becoming of increased interest due to the use of dual energy Computed Tomography (CT) scanners as an aviati...
Gregory T. Flitton, Toby P. Breckon, Najla Megherb...
ICPR
2000
IEEE
16 years 8 months ago
Automatic Training of Page Segmentation Algorithms: An Optimization Approach
Most page segmentation algorithms have userspecifiable free parameters. However, algorithm designers typically do not provide a quantitative/rigorous method for choosing values fo...
Song Mao, Tapas Kanungo
ACCV
2007
Springer
16 years 1 months ago
Evolving Measurement Regions for Depth from Defocus
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi