Title :
3D node localization from node-to-node distance information using cross-entropy method
Author :
Ukawa, Shohei ; Shinada, Tatsuya ; Hashimoto, Masanori ; Itoh, Yuichi ; Onoye, Takao
Author_Institution :
Dept. Inf. Syst. Eng., Osaka Univ., Suita, Japan
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.
Keywords :
entropy; iterative methods; measurement errors; solid modelling; statistical analysis; 3D modeling system; 3D node localization method; cross-entropy method; interactive node movement; iterative sample generation; localization method; measurement errors; node-to-node distance information; statistical estimation; Computational modeling; Linear programming; Measurement errors; Parallel processing; Shape; Three-dimensional displays; 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;
Conference_Titel :
Virtual Reality (VR), 2015 IEEE
Conference_Location :
Arles
DOI :
10.1109/VR.2015.7223416
