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TOG
2008
82views more  TOG 2008»
14 years 9 months ago
Practical modeling and acquisition of layered facial reflectance
We present a practical method for modeling layered facial reflectance consisting of specular reflectance, single scattering, and shallow and deep subsurface scattering. We estimat...
Abhijeet Ghosh, Tim Hawkins, Pieter Peers, Sune Fr...
ICASSP
2008
IEEE
15 years 4 months ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
MICCAI
2007
Springer
15 years 10 months ago
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos
Disease-specific understanding of echocardiographic sequences requires accurate characterization of spatio-temporal motion patterns. In this paper we present a method of automatic ...
Tanveer Fathima Syeda-Mahmood, Fei Wang, David Bey...
SMI
2007
IEEE
194views Image Analysis» more  SMI 2007»
15 years 4 months ago
Robust Smooth Feature Extraction from Point Clouds
Defining sharp features in a given 3D model facilitates a better understanding of the surface and aids visualizations, reverse engineering, filtering, simplification, non-photo...
Joel Daniels II, Linh K. Ha, Tilo Ochotta, Cl&aacu...
CVPR
2009
IEEE
16 years 4 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...