Improving Marker-Based Tracking for Augmented Reality in Underwater Environments

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Authors

ČEJKA Jan AGRAFIOTIS Panagiotis BRUNO Fabio SKARLATOS Dimitris LIAROKAPIS Fotis

Year of publication 2018
Type Article in Proceedings
Conference Proc. of the Eurographics Workshop on Graphics and Cultural Heritage, The Eurographics Association, Vienna, Austria, 21-30, 2018
MU Faculty or unit

Faculty of Informatics

Citation
Web https://diglib.eg.org/handle/10.2312/gch20181337
Doi http://dx.doi.org/10.2312/gch.20181337
Keywords mixed reality; augmented reality; computer vision
Description Underwater sites are a challenging environment for augmented reality. Images taken under water are degraded in several ways, most importantly they are affected by unbalanced colors due to uneven absorption of light in each color channel, blurring and desaturation caused by turbidity, or noise due to the presence of larger organisms, plants, or bubbles. In this paper, we introduce a new method based on white balancing that enhances underwater images to improve the results of detection of markers. We compare this method with several image enhancement methods, and evaluate their performance when applied to the problem of detecting markers under water. Our results show that our method improves the detection in underwater environments while keeping the computation time low.
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