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ICML
2007
IEEE
14 years 8 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan
BMVC
2010
13 years 5 months ago
Active 3D Segmentation through Fixation of Previously Unseen Objects
We present an approach for active segmentation based on integration of several cues. It serves as a framework for generation of object hypotheses of previously unseen objects in n...
Mårten Björkman, Danica Kragic
3DOR
2008
13 years 10 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
DCC
2002
IEEE
14 years 7 months ago
Diagnostically Lossless 3D Wavelet Compression for Digital Angiogram Video
A novel method for the compression of angiogram video sequences is presented. The approach is based on the idea that not all of an angiogram image will de diagnostically significa...
David Gibson, Sandra I. Woolley, Michael Spann
ICCS
2004
Springer
14 years 25 days ago
Velocity Field Modelling for Pollutant Plume Using 3-D Adaptive Finite Element Method
Air pollution models usually start from the computation of the velocity field of a fluid. In this paper, we present a model for computing that field based on the contribution of...
Gustavo Montero, Rafael Montenegro, José Ma...