Publication details

Detecting Square Markers in Underwater Environments

Authors

ČEJKA Jan BRUNO Fabio SKARLATOS Dimitrios LIAROKAPIS Fotis

Year of publication 2019
Type Article in Periodical
Magazine / Source Remote Sensing
MU Faculty or unit

Faculty of Informatics

Citation
Web http://dx.doi.org/10.3390/rs11040459
Doi http://dx.doi.org/10.3390/rs11040459
Keywords augmented reality; marker-based tracking; generating synthetic images; real time; cultural heritage
Description Augmented reality can be deployed in various application domains, such as enhancing human vision, manufacturing, medicine, military, entertainment, and archeology. One of the least explored areas is the underwater environment. The main benefit of augmented reality in these environments is that it can help divers navigate to points of interest or present interesting information about archaeological and touristic sites (e.g., ruins of buildings, shipwrecks). However, the harsh sea environment affects computer vision algorithms and complicates the detection of objects, which is essential for augmented reality. This paper presents a new algorithm for the detection of fiducial markers that is tailored to underwater environments. It also proposes a method that generates synthetic images with such markers in these environments. This new detector is compared with existing solutions using synthetic images and images taken in the real world, showing that it performs better than other detectors: it finds more markers than faster algorithms and runs faster than robust algorithms that detect the same amount of markers.
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