Anisotropic point-based fusion

Lefloch D, Kolb A, Weyrich T (2015)

Publication Type: Conference contribution

Publication year: 2015

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 2121-2128

Conference Proceedings Title: 2015 18th International Conference on Information Fusion, Fusion 2015

Event location: Washington, DC US

ISBN: 9780982443866

Abstract

We propose a new real-time framework which efficiently reconstructs large-scale scenery by accumulating anisotropic point representations in combination with memory efficient representation of point attributes. The reduced memory footprint allows to store additional point properties that represent the accumulated anisotropic noise of the input range data in the reconstructed scene. We propose an efficient processing scheme for the extended and compressed point attributes that does not obstruct real-time reconstruction. Furthermore, we evaluate the positive impact of the anisotropy handling on the data accumulation and the 3D reconstruction quality.

Authors with CRIS profile

Tim Weyrich

Involved external institutions

Universität Siegen DE Germany (DE) University College London (UCL) GB United Kingdom (GB)

How to cite

APA:

Lefloch, D., Kolb, A., & Weyrich, T. (2015). Anisotropic point-based fusion. In 2015 18th International Conference on Information Fusion, Fusion 2015 (pp. 2121-2128). Washington, DC, US: Institute of Electrical and Electronics Engineers Inc..

MLA:

Lefloch, Damien, Andreas Kolb, and Tim Weyrich. "Anisotropic point-based fusion." Proceedings of the 18th International Conference on Information Fusion, Fusion 2015, Washington, DC Institute of Electrical and Electronics Engineers Inc., 2015. 2121-2128.

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