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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Published in:Proceedings of the IEEE Virtual Reality Annual International Symposium pp. 303 - 304
Main Authors: Ukawa, Shohei, Shinada, Tatsuya, Hashimoto, Masanori, Itoh, Yuichi, Onoye, Takao
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2015
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ISSN:1087-8270
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Abstract 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.
AbstractList 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.
Author Hashimoto, Masanori
Onoye, Takao
Itoh, Yuichi
Ukawa, Shohei
Shinada, Tatsuya
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  givenname: Tatsuya
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  givenname: Masanori
  surname: Hashimoto
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  givenname: Yuichi
  surname: Itoh
  fullname: Itoh, Yuichi
  organization: Dept. Inf. Syst. Eng., Osaka Univ., Suita, Japan
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  givenname: Takao
  surname: Onoye
  fullname: Onoye, Takao
  organization: Dept. Inf. Syst. Eng., Osaka Univ., Suita, Japan
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Snippet This paper proposes a 3D node localization method that uses cross-entropy method for the 3D modeling system. The proposed localization method statistically...
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StartPage 303
SubjectTerms 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
Title 3D node localization from node-to-node distance information using cross-entropy method
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