Tackling problems of marker-based augmented reality under water

TL;DR

This paper investigates marker-based augmented reality underwater, evaluating image enhancement and marker detection algorithms to improve real-time localization on mobile devices in challenging underwater conditions.

Contribution

It presents a comprehensive analysis of image enhancement and marker detection algorithms tailored for underwater AR, demonstrating their effectiveness in real-world Mediterranean Sea environments.

Findings

Image enhancement algorithms improve underwater visibility and marker detection.

Specialized underwater marker detection algorithms outperform generic ones.

Optimized parameter settings significantly enhance AR performance underwater.

Abstract

Underwater sites are a harsh environment for augmented reality applications. Obstacles that must be battled include poor visibility conditions, difficult navigation, and hard manipulation with devices under water. This chapter focuses on the problem of localizing a device under water using markers. It discusses various filters that enhance and improve images recorded under water, and their impact on marker-based tracking. It presents various combinations of 10 image improving algorithms and 4 marker detecting algorithms, and tests their performance in real situations. All solutions are designed to run real-time on mobile devices to provide a solid basis for augmented reality. Usability of this solution is evaluated on locations in Mediterranean Sea. It is shown that image improving algorithms with carefully chosen parameters can reduce the problems with visibility under water and improve the detection of markers. The best results are obtained with marker detecting algorithms that are specifically designed for underwater environments.