Registration of Historic and Modern Images in Urban Rephotography

Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202007133290
Open Access logo originally created by the Public Library of Science (PLoS)
Titel: Registration of Historic and Modern Images in Urban Rephotography
Sonstige Titel: Registrierung von historischen und modernen Bildern in der städtischen Rephotographie
Autor(en): Becker, Ann-Katrin
Erstgutachter: Prof. Dr. Oliver Vornberger
Zweitgutachter: Prof. Dr. Christian Heipke
Zusammenfassung: This thesis tackles the challenge of registering modern to historic images in the context of urban rephotography. It aims at automatically identifying stable image features in scenes, which have been exposed to medium to tremendous changes across the years. Instead, the related field of location recognition mainly focuses on illumination and seasonal changes. This work illustrates that common feature descriptors are applicable in the context of historic and modern image matching, while local detectors are not, but most important is the choice of appropriate correspondence filters. It is verified that major structural changes are most challenging for traditional image matching approaches and the methods developed in this work are applicable to challenging image pairs beyond rephotography. Besides, features extracted from Convolutional Neural Networks (CNNs), originally trained for the task of location recognition, show high performance and should be further developed for the specific task of historic to modern image matching. At last, practical developments are presented, including an online portal for presenting and organizing rephotographs as well as an initial version of a mobile application, which supports recovering the original viewpoint of an image.
URL: https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202007133290
Schlagworte: Rephotography; Image Registration
Erscheinungsdatum: 13-Jul-2020
Lizenzbezeichnung: Attribution 3.0 Germany
URL der Lizenz: http://creativecommons.org/licenses/by/3.0/de/
Publikationstyp: Dissertation oder Habilitation [doctoralThesis]
Enthalten in den Sammlungen:FB06 - E-Dissertationen

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
thesis_becker.pdfPräsentationsformat94,41 MBAdobe PDF
thesis_becker.pdf
Miniaturbild
Öffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons