基于神经网络回归的高级混合跟踪

2014 Information and Communication Technologies Innovation and Application (ICTIA) Pub Date : 2014-03-01 DOI:10.1109/ICTIA.2014.7883766

M. Frad, H. Maaref, Abdellatif Matibaa, S. Otmane

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引用次数: 1

摘要

我们提出了一种适用于增强现实和虚拟现实应用的光触觉跟踪系统。本文论述了这一制度的两个问题。第一部分涉及可用于校准力反馈装置的校准方法:SPIDAR。第二个贡献是关于混合跟踪系统的发展。提出的杂交旨在提供准确和中断的位置数据。

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Advanced hybrid tracking through neural network regression

We present an optical-haptic tracking system suitable for augmented and virtual reality applications. The paper addresses tow issues of such system. The first one concerns the calibration method that can be used to calibrate the force feedback device: SPIDAR. The second contribution is about the development of a hybrid tracking system. The proposed hybridization aims to provide both accurate and interrupted position data.

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2014 Information and Communication Technologies Innovation and Application (ICTIA)

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