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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Proceedings of the IEEE Virtual Reality Annual International Symposium s. 303 - 304
Hlavní autori:	Ukawa, Shohei, Shinada, Tatsuya, Hashimoto, Masanori, Itoh, Yuichi, Onoye, Takao
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.03.2015
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Popis
Shrnutí:	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