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» New Features to Identify Computer Generated Images
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ICASSP
2011
IEEE
14 years 1 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
ICIAP
2005
ACM
15 years 9 months ago
A New Efficient Method for Producing Global Affine Invariants
This paper introduces a new efficient way for computing affine invariant features from gray-scale images. The method is based on a novel image transform which produces infinitely m...
Esa Rahtu, Janne Heikkilä, Mikko Salo
PG
2007
IEEE
15 years 4 months ago
Computer-Generated Papercutting
The craft of papercutting is part of the folk art traditions of cultures all over the world. From the point of view of computer graphics, papercutting can be seen as a method of c...
Jie Xu, Craig S. Kaplan, Xiaofeng Mi
VRML
1999
ACM
15 years 2 months ago
Utilising the Spatial Features of Cyberspace for Generating a Dynamic Museum Environment
This paper focuses on the aesthetic aspect of distributing multimedia data in cyberspace. By dynamically modifying the contents of a virtual art exhibition, we aim to generate a v...
Narushige Shiode, Tomoko Kanoshima
CVPR
2008
IEEE
15 years 11 months ago
Unifying discriminative visual codebook generation with classifier training for object category recognition
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
Liu Yang, Rong Jin, Rahul Sukthankar, Fréd&...