Adaptive manifolds for real-time high-dimensional filtering-Reference-Cited by-同舟云学术

Adaptive manifolds for real-time high-dimensional filtering

Published:2012-08-05 Issue:4 Volume:31 Page:1-13
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Gastal Eduardo S. L.¹,Oliveira Manuel M.¹

Affiliation:

1. Instituto de Informática -- UFRGS

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/2185520.2185529

Reference46 articles.

1. Adams A. Gelfand N. Dolson J. and Levoy M. 2009. Gaussian kd-trees for fast high-dimensional filtering. In SIGGRAPH. 10.1145/1576246.1531327 Adams A. Gelfand N. Dolson J. and Levoy M. 2009. Gaussian kd-trees for fast high-dimensional filtering. In SIGGRAPH . 10.1145/1576246.1531327

2. Fast High-Dimensional Filtering Using the Permutohedral Lattice

3. Adams A. B. 2011. High-dimensional gaussian filtering for computational photography. PhD thesis Stanford University. Adams A. B. 2011. High-dimensional gaussian filtering for computational photography . PhD thesis Stanford University.

4. Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature

5. Non-linear gaussian filters performing edge preserving diffusion;Aurich V.;Mustererkennung,1995

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