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Abstract: The paper presents algorithms for the construction of features which are invariant with respect to a given finite transformation group. We show that it is in principle possible to construct complete feature sets. The developed methods are general and work for arbitrary finite groups. However, in this paper we focus on translation and rotation invariant features for gray scale images. We investigate possibilities for a parallelization of the algorithms. By analyzing the occurring data... (Update)
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.... not possible to embed 2d tori in de Bruijn graphs with dilation less than O(log N) but up to now there doesn t seem to exist a proof ( 2] In [5] the scope of host graphs was extended to de Bruijn graphs of any base. For de Bruijn graphs of dimension three or higher we could...
.... algorithm ( Fou73] or for pattern recognition algorithms like geometric hashing ( YL88] and other invariant based recognition methods ([NSSM94]) Here it is far from trivial to ensure a balanced network workload. Furthermore the communication demands are in general...
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BibTeX entry: (Update)
M. Nolle, G. Schreiber, H. Schulz-Mirbach, "Efficient Parallel Algorithms for the Extraction of Image Features with Adjustable Invariance Properties", Internal Report 5/94, Technische Informatik I, Technische Universitat HamburgHarburg, May 1994. http://citeseer.ist.psu.edu/nolle94efficient.html More
@misc{ nolle94efficient,
author = "M. Nolle and G. Schreiber and H. Schulz-Mirbach",
title = "Efficient Parallel Algorithms for the Extraction of Image Features with
Adjustable Invariance Properties",
text = "M. Nolle, G. Schreiber, H. Schulz-Mirbach, Efficient Parallel Algorithms
for the Extraction of Image Features with Adjustable Invariance Properties,
Internal Report 5/94, Technische Informatik I, Technische Universitat HamburgHarburg,
May 1994.",
year = "1994",
url = "citeseer.ist.psu.edu/nolle94efficient.html" }
Citations (may not include all citations):981 Introduction to Parallel Algorithms and Architectures (context) - Leighton - 1992
332 Geometric Invariance in Computer Vision (context) - Mundy, Zisserman - 1992
219 Application of Lie Groups to Differential Equations (context) - Olver - 1986
52 Recognizing Planar Objects Using Invariant Image Features (context) - Reiss - 1993
28 A combinatorial problem (context) - de - 1946
26 Optimal simulations by butterfly networks (context) - Bhatt, Chung et al. - 1988
20 Der Endlichkeitssatz der Invarianten endlicher Gruppen (context) - Noether - 1916
10 Optimal routing in the de bruijn networks (context) - Liu - 1990
9 Semi-differential invariants (context) - van Gool, Moons et al. - 1992
5 Vollstandige algebraische Beschreibung und Parallelisierung .. (context) - Nolle, Schulz-Mirbach - 1992
4 ESPRIT Basic Research Workshop at the ECCV (context) - Burkhardt, Zisserman et al. - 1992
4 the Existence of Complete Invariant Feature Spaces in Patter.. (context) - Schulz-Mirbach - 1992
2 Lower bounds for graph embeddings via algebraic topology (context) - Heath - 1993
2 Entwicklung von Algorithmen zur Selbstinitialisierung von Ko.. (context) - Schreiber - 1993
1 Internal Report 4/93 (context) - Schreiber, by et al. - 1993
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