arXiv Open Access 2012

Distributed High Dimensional Information Theoretical Image Registration via Random Projections

Zoltan Szabo Andras Lorincz

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Abstrak

Information theoretical measures, such as entropy, mutual information, and various divergences, exhibit robust characteristics in image registration applications. However, the estimation of these quantities is computationally intensive in high dimensions. On the other hand, consistent estimation from pairwise distances of the sample points is possible, which suits random projection (RP) based low dimensional embeddings. We adapt the RP technique to this task by means of a simple ensemble method. To the best of our knowledge, this is the first distributed, RP based information theoretical image registration approach. The efficiency of the method is demonstrated through numerical examples.

Topik & Kata Kunci

cs.IT cs.LG stat.ML

Penulis (2)

Zoltan Szabo

Andras Lorincz

Format Sitasi

APA MLA BibTeX

Szabo, Z., Lorincz, A. (2012). Distributed High Dimensional Information Theoretical Image Registration via Random Projections. https://arxiv.org/abs/1210.0824

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2012
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓