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122
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UAI
2008
15 years 2 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
77
Voted
CGVR
2006
15 years 2 months ago
Design Issues and Challenges of 3-D Object Modeling and 2-D Rendering
- The challenges in modeling 3-D objects using facets and surface patches are investigated, and enhancement over the Gouraud's and Phong's interpolative shading is presen...
Omar Aboutalib, Bea Thai
102
Voted
VMV
2004
179views Visualization» more  VMV 2004»
15 years 2 months ago
High-Resolution Interactive Panoramas with MPEG-4
We present a system for the interactive navigation through high-resolution cylindrical panoramas. The system is based on MPEG-4 and describes the virtual world by the scene descri...
Peter Eisert, Yong Guo, Anke Riechers, Jürgen...
99
Voted
BMVC
1998
15 years 2 months ago
Multi-Scale 3-D Free-Form Surface Smoothing
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed (through fusion of range images) a...
Farzin Mokhtarian, Nasser Khalili, Peter Yuen
VMV
2003
170views Visualization» more  VMV 2003»
15 years 2 months ago
Performance Analysis of Nearest Neighbor Algorithms for ICP Registration of 3-D Point Sets
There are many nearest neighbor algorithms tailormade for ICP, but most of them require special input data like range images or triangle meshes. We focus on efficient nearest nei...
Timo Zinßer, Jochen Schmidt, Heinrich Nieman...