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Home > Mathematical Methods for Signal and Image Analysis and Representation > Sparse Representation of Video Data by Adaptive Tetrahedralizations
Mathematical Methods for Signal and Image Analysis and Representation |
Luc Florack; Remco Duits; Geurt Jongbloed; Marie-Colette van Lieshout; Laurie Davies
Springer London
Mathematical Methods for Signal and Image Analysis and Representation
Sparse Representation of Video Data by Adaptive Tetrahedralizations
Authors

Laurent Demaret; Armin Iske; Wahid Khachabi

ARI Id

1664606884764_2391239

Access

Not Available Free

Pages

101-121

DOI

10.1007/978-1-4471-2353-8_6

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4471-2353-8_6

Table of Contents of Book
Showing 1 to 18 of 18 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XII
A Short Introduction to Diffusion-Like Methods
Hanno Scharr; Kai Krajsek
1-30
Adaptive Filtering Using Channel Representations
Michael Felsberg
31-48
3D-Coherence-Enhancing Diffusion Filtering for Matrix Fields
Bernhard Burgeth; Luis Pizarro; Stephan Didas; Joachim Weickert
49-63
Structural Adaptive Smoothing: Principles and Applications in Imaging
Jörg Polzehl; Karsten Tabelow
65-81
SPD Tensors Regularization via Iwasawa Decomposition
Yaniv Gur; Ofer Pasternak; Nir Sochen
83-100
Sparse Representation of Video Data by Adaptive Tetrahedralizations
Laurent Demaret; Armin Iske; Wahid Khachabi
101-121
Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups
Hartmut Führ
123-136
Left Invariant Evolution Equations on Gabor Transforms
Remco Duits; Hartmut Führ; Bart Janssen
137-158
Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold
Luc Florack
159-171
An A Priori Model of Line Propagation
Markus van Almsick
173-191
Local Statistics on Shape Diffeomorphisms Using a Depth Potential Function
Maxime Boucher; Alan Evans
193-206
Preserving Time Structures While Denoising a Dynamical Image
Yves Rozenholc; Markus Reiß
207-219
Interacting Adaptive Filters for Multiple Objects Detection
Xavier Descombes
221-239
Visual Data Recognition and Modeling Based on Local Markovian Models
Michal Haindl
241-259
Locally Specified Polygonal Markov Fields for Image Segmentation
Michal Matuszak; Tomasz Schreiber
261-274
Regularization with Approximated L 2 Maximum Entropy Method
Jean-Michel Loubes; Paul Rochet
275-290
Back Matter
291-317
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 18 of 18 entries
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