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» New Features to Identify Computer Generated Images
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CVPR
2006
IEEE
16 years 3 months ago
Reciprocal Image Features for Uncalibrated Helmholtz Stereopsis
Helmholtz stereopsis is a surface reconstruction method that exploits reciprocity for the recovery of 3D shape without an assumed BRDF model, and it has been shown to yield high q...
Todd Zickler
BMCBI
2004
208views more  BMCBI 2004»
15 years 1 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
SP
2007
IEEE
107views Security Privacy» more  SP 2007»
15 years 7 months ago
Lurking in the Shadows: Identifying Systemic Threats to Kernel Data
The integrity of kernel code and data is fundamental to the integrity of the computer system. Tampering with the kernel data is an attractive venue for rootkit writers since malic...
Arati Baliga, Pandurang Kamat, Liviu Iftode
ISBI
2007
IEEE
15 years 7 months ago
Feature Curve-Guided Volume Reconstruction from 2d Images
In this paper, we propose a new paradigm to reconstruct 3D volume from histology slices guided by NURBS spline-based feature curves. Histology slices are first scanned into compu...
Yunhao Tan, Jing Hua, Ming Dong
ICPR
2006
IEEE
16 years 2 months ago
Using texture-based symbolic features for medical image representation
At present time the Internet has become a major source of information and a powerful didactic tool. Furthermore, the development of digital equipment, allows to acquire and store ...
Abdelaziz Bensrhair, Alexandrina Rogozan, Eugen Ba...