Abstract
In this paper, a data fusion model, based on the notion of fuzzy integral is presented to combine the results of multiple tracking sensors in augmented reality (AR). According to the application characteristic in AR, the tracking range and the tracking error have been chosen to act as evaluation factors. A method for dynamically assigning weighting factors, using the comprehensive performance evaluation of individual sensors is also proposed. The fuzzy integral approach can release the user’s burden from tuning the fusion parameters. Experiments demonstrate that our fusion algorithm prominently improve the tracking precision, consequently to enhance the third dimension of AR system.
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Feng, Y., Chen, Y., Wang, M. (2006). Multi-sensor Data Fusion Based on Fuzzy Integral in AR System. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_17
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DOI: https://doi.org/10.1007/11941354_17
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