Antarstick: Extracting Snow Height From Time-Lapse Photography

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00136006" target="_blank" >RIV/00216224:14330/24:00136006 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1111/cgf.15088" target="_blank" >https://doi.org/10.1111/cgf.15088</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/cgf.15088" target="_blank" >10.1111/cgf.15088</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Antarstick: Extracting Snow Height From Time-Lapse Photography

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Antarstick: Extracting Snow Height From Time-Lapse Photography

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

COMPUTER GRAPHICS FORUM

ISSN

0167-7055

e-ISSN

1467-8659

Svazek periodika

43

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

001243044400001

EID výsledku v databázi Scopus

2-s2.0-85195492443