Antarstick: Extracting Snow Height From Time-Lapse Photography
No Thumbnail Available
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
The evolution and accumulation of snow cover are among the most important characteristics influencing Antarctica's climate and biotopes. The changes in Antarctica are also substantially impacting global climate change. Therefore, detailed monitoring of snow evolution is key to understanding such changes. One way to conduct this monitoring is by installing trail cameras in a particular region and then processing the captured information. This option is affordable, but has some drawbacks, such as the fully automatic solution for the extraction of snow height from these images is not feasible. Therefore, it still requires human intervention, manually correcting the inaccurately extracted information. In this paper, we present Antarstick, a tool for visual guidance of the user to potentially wrong values extracted from poor-quality images and support for their interactive correction. This tool allows for much quicker and semi-automated processing of snow height from time-lapse photography.
Description
CCS Concepts: Human-centered computing → Visualization toolkits; Geographic visualization
@article{10.1111:cgf.15088,
journal = {Computer Graphics Forum},
title = {{Antarstick: Extracting Snow Height From Time-Lapse Photography}},
author = {Lang, Matěj and Mráz, Radoslav and Trtík, Marek and Stoppel, Sergej and Byška, Jan and Kozlikova, Barbora},
year = {2024},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.15088}
}