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SIGGRAPH
2010
ACM
14 years 18 days ago
Manifold bootstrapping for SVBRDF capture
Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms...
Yue Dong, Jiaping Wang, Xin Tong, John Snyder, Yan...
TIP
2011
89views more  TIP 2011»
13 years 3 months ago
Random Phase Textures: Theory and Synthesis
This paper explores the mathematical and algorithmic properties of two sample-based microtexture models: random phase noise (RPN ) and asymptotic discrete spot noise (ADSN ). Thes...
Bruno Galerne, Yann Gousseau, Jean-Michel Morel
IDA
2009
Springer
14 years 3 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
CVPR
1999
IEEE
14 years 10 months ago
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
Bogdan Matei, Peter Meer
MICCAI
2005
Springer
14 years 9 months ago
A Hamilton-Jacobi-Bellman Approach to High Angular Resolution Diffusion Tractography
Abstract. This paper describes a new framework for white matter tractography in high angular resolution diffusion data. A direction-dependent local cost is defined based on the dif...
Eric Pichon, Carl-Fredrik Westin, Allen Tannenbaum