3D node localization from node-to-node distance information using cross-entropy method

This paper proposes a 3D node localization method that uses cross-entropy method for the 3D modeling system. The proposed localization method statistically estimates the most probable positions overcoming measurement errors through iterative sample generation and evaluation. The generated samples ar...

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Veröffentlicht in:	Proceedings of the IEEE Virtual Reality Annual International Symposium S. 303 - 304
Hauptverfasser:	Ukawa, Shohei, Shinada, Tatsuya, Hashimoto, Masanori, Itoh, Yuichi, Onoye, Takao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2015
Schlagworte:	Computational modeling H.5.2 [Information Interfaces and Presentation]: User Interfaces - Input Devices and Strategies I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling - Physically based modeling Linear programming Measurement errors Parallel processing Shape Three-dimensional displays
ISSN:	1087-8270
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	This paper proposes a 3D node localization method that uses cross-entropy method for the 3D modeling system. The proposed localization method statistically estimates the most probable positions overcoming measurement errors through iterative sample generation and evaluation. The generated samples are evaluated in parallel, and then a significant speedup can be obtained. We also demonstrate that the iterative sample generation and evaluation performed in parallel are highly compatible with interactive node movement.
ISSN:	1087-8270
DOI:	10.1109/VR.2015.7223416