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» Moving Least Squares via Orthogonal Polynomials
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MVA
1992
128views Computer Vision» more  MVA 1992»
13 years 7 months ago
Computation of Surface Curvature from Range Images Using Geometrically Intrinsic Weights
This paper presents a method to compute Mean and Gaussian curvatures from range images. The first and second partial derivatives are estimated by the weighted least squares fit of...
Takio Kurita, Pierre Boulanger
TSP
2008
101views more  TSP 2008»
13 years 5 months ago
Subspace-Based Algorithm for Parameter Estimation of Polynomial Phase Signals
In this correspondence, parameter estimation of a polynomial phase signal (PPS) in additive white Gaussian noise is addressed. Assuming that the order of the PPS is at least 3, the...
Yuntao Wu, Hing Cheung So, Hongqing Liu
CG
2004
Springer
13 years 5 months ago
Point cloud surfaces using geometric proximity graphs
We present a new definition of an implicit surface over a noisy point cloud, based on the weighted least squares approach. It can be evaluated very fast, but artifacts are signifi...
Jan Klein, Gabriel Zachmann
SGP
2007
13 years 8 months ago
Data-dependent MLS for faithful surface approximation
In this paper we present a high-fidelity surface approximation technique that aims at a faithful reconstruction of piecewise-smooth surfaces from a scattered point set. The presen...
Yaron Lipman, Daniel Cohen-Or, David Levin
NN
2010
Springer
189views Neural Networks» more  NN 2010»
13 years 23 days ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi