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» New Features to Identify Computer Generated Images
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ISBI
2011
IEEE
14 years 5 months ago
Network cycle features: Application to computer-aided Gleason grading of prostate cancer histopathological images
Features extracted from cell networks have become popular tools in histological image analysis. However, existing features do not take sufficient advantage of the cycle structure...
Parmeshwar Khurd, Leo Grady, Ali Kamen, Summer Gib...
LNCS
1993
15 years 5 months ago
Multimedia Database Systems
– In the past few years considerable demand for user oriented multimedia information systems has developed. These systems must provide a rich set of functionality so that new, co...
Arif Ghafoor, P. Bruce Berra
ANLP
1994
105views more  ANLP 1994»
15 years 2 months ago
Modeling Content Identification from Document Images
A new technique to locate content-representing words for a given document image using representation of character shapes is described. A character shape code representation define...
Takehiro Nakayama
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 5 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
ICPR
2006
IEEE
16 years 2 months ago
Genus-Zero Shape Classification Using Spherical Normal Image
A new method for three dimensional (3D) genus-zero shape classification is proposed. It conformally maps a 3D mesh onto a unit sphere and uses normal vectors to generate a spheric...
Jia Li, Shaojun Liu