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» New Features to Identify Computer Generated Images
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SIGGRAPH
1999
ACM
15 years 8 months ago
A Perceptually Based Physical Error Metric for Realistic Image Synthesis
We introduce a new concept for accelerating realistic image synthesis algorithms. At the core of this procedure is a novel physical error metric that correctly predicts the percep...
Mahesh Ramasubramanian, Sumanta N. Pattanaik, Dona...
CVPR
2005
IEEE
16 years 6 months ago
Multi-Image Matching Using Multi-Scale Oriented Patches
This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriente...
Matthew Brown, Richard Szeliski, Simon A. J. Winde...
IPMI
2007
Springer
16 years 4 months ago
Brain Image Registration Using Cortically Constrained Harmonic Mappings
Volumetric registration of brains is required for inter-subject studies of functional and anatomical data. Intensity-driven registration typically results in some degree of misalig...
Anand A. Joshi, David W. Shattuck, Paul M. Thompso...
SIGGRAPH
1987
ACM
15 years 7 months ago
Generating antialiased images at low sampling densities
Ray tracing produces point samples of an image from a 3-D model. Constructing an antialiased digital picture from point samples is difficult without resorting to extremely high sa...
Don P. Mitchell
CVPR
2010
IEEE
15 years 10 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal