In this paper a method for improving a tracking algorithm in an augmented reality application is presented. This method addresses several issues to this particular application, like marker-less tracking and color constancy with low quality cameras, or precise tracking with real-time constraints. Due to size restrictions some of the objects are tracked using color information. To improve the quality of the detection, a color selection scheme is proposed to increase color distance between different objects in the scene. Moreover, a new color constancy method based in a diagonal-offset model and k-means is presented. Finally, some real images are used to show the improvement with this new method.
CITATION STYLE
González-Linares, J. M., Guil, N., & Cózar, J. R. (2015). Robust tracking for augmented reality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9094, pp. 301–308). Springer Verlag. https://doi.org/10.1007/978-3-319-19258-1_26
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