基于支持向量回归的SPIDAR标定

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI:10.1109/IPTA.2010.5586748

Pierre Boudoin, H. Maaref, S. Otmane, M. Mallem

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引用次数: 4

摘要

本文的目的是为了提高跟踪触觉装置SPIDAR在给定位置上的精度而进行的所有研究。首先，我们提出了一种利用光学跟踪系统的半自动初始化技术。然后，我们提出使用支持向量回归(SVR)对SPIDAR进行校准，以减少定位误差。通过这次校准，我们获得了非常好的结果，因为我们将平均误差降低了50%以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SPIDAR calibration using Support Vector Regression

This paper aims to present all the study done on the SPIDAR, which is a tracking and haptic device, in order to improve its accuracy on the given position. Firstly we proposed a new semi-automatic initialization technique for this device using an optical tracking system. Then, we propose to use Support Vector Regression (SVR) to calibrate the SPIDAR in order to reduce location errors. We obtained very good results with this calibration, since we reduced the mean error by more than 50%.

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2010 2nd International Conference on Image Processing Theory, Tools and Applications

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