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. Keywords: Fuzzy Integral, Data Fusion, Target Locating, Augmented Reality. © 2006 Springer-Verlag Berlin/Heidelberg.
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CITATION STYLE
Feng, Y., Chen, Y., & Wang, M. (2006). Multi-sensor data fusion based on fuzzy integral in AR system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4282 LNCS, pp. 155–162). https://doi.org/10.1007/11941354_17
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