Thesis Details
Detection of changes in the scene captured by the drone at different times
This work aims to design the user processes and implement an application used to detect changes in the scene captured by the drone at~different times. The application supplies a~complex solution for the three-dimensional reconstruction and comparison of two aviation data. The main benefits include being an all-in-one solution, operating with unmodified data from the drone, reconstruction and alignment without any human adjustments, and no necessity for ground control points or specialized sensors, making this tool available for a~broad assortment of use cases.In the thesis, I created a pipeline that uses state-of-the-art reconstruction algorithms, allowing the user to upload, organize, and reconstruct the data into three-dimensional models and view the difference in volume between the flights at different times.
drone, 3D object reconstruction, structure from motion, difference in volume, point cloud, photogrammetry
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT23294,
author = "Martin Min\'{a}rik",
type = "Master's thesis",
title = "Detection of changes in the scene captured by the drone at different times",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2022,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/23294/"
}