Thesis Details
3D Reconstruction of Historic Landmarks from Flickr Pictures
This thesis describes challenges in design and development of an application which reconstructs 3D model given set of 2D images. This technique is called bundle adjustment. The thesi discusses the 3D reconstruction pipeline and elaborates on each step. The first step covers dataset acquisition from the internet. The scripts used to download such data from Flickr and Google Images are described and image characteristics necessary for a good reconstruction are identified. Hereafter the paper compares different feature detectors, extractors and matchers to find best suited combination for reconstruction of historic landmarks. This is followed by description the reconstruction and optimization steps and their implementation. At the end of the thesis the implemented solution is examined on several datasets and compared with other existing solutions presented at the very beginning of the thesis.
keypoints detection, feature extraction, feature matching, computer vision, monocular vision, stereo vision, pose estimation, camera calibration, structure from motion, bundle adjustment
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Růžička Richard, doc. Ing., Ph.D., MBA (DCSY FIT BUT), člen
Rybička Jiří, doc. Ing. Dr. (Mendelu), člen
@mastersthesis{FITMT16526, author = "Vojt\v{e}ch \v{S}imetka", type = "Master's thesis", title = "3D Reconstruction of Historic Landmarks from Flickr Pictures", school = "Brno University of Technology, Faculty of Information Technology", year = 2015, location = "Brno, CZ", language = "english", url = "https://www.fit.vut.cz/study/thesis/16526/" }