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» A Framework for Structured Distributed Object Computing
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CVPR
2010
IEEE
14 years 2 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
ICPR
2000
IEEE
14 years 21 days ago
Eigensnakes for Vessel Segmentation in Angiography
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...
Ricardo Toledo, Xavier Orriols, Petia Radeva, Xavi...
IJCV
2006
236views more  IJCV 2006»
13 years 8 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
ACCV
2010
Springer
13 years 3 months ago
Latent Gaussian Mixture Regression for Human Pose Estimation
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...
Yan Tian, Leonid Sigal, Hernán Badino, Fern...
SSDBM
2005
IEEE
111views Database» more  SSDBM 2005»
14 years 1 months ago
Querying Streaming Geospatial Image Data: The GeoStreams Project
Data products generated from remotely-sensed, geospatial imagery (RSI) used in emerging areas, such as global climatology, environmental monitoring, land use, and disaster managem...
Quinn Hart, Michael Gertz