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Thursday, March 31 • 08:55 - 09:20
S20-02 Computer vision applied to historical air photos: The registration and object detection challenge

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Computer Vision applied to Historical Air Photos: The Registration and Object Detection Challenge

Sebastian Zambanini, Fabian Hollaus, Robert Sablatnig

This paper addresses the problem of automatically analyzing aerial photos taken during World War II air strikes. The goal of this work is to locate unexploded ordnances (UXOs) for risk assessments, enabled by the registration of the historical air photos to modern-day satellite images and the detection of military objects (e.g. bomb craters or trenches). The work is part of the DeVisOR project which aims at supporting the tedious task of creating UXO surveys in a semi-automatic manner by means of powerful image analysis methods and interactive visualization techniques.

In this paper we focus on the image analysis part and present the specific challenges that arise when working with this kind of data. For registration, the strong image changes caused by time spans of around 70 years hinder the reliable identification of correspondences between the old and new images, especially in non-urban areas. In combination with the generally low image quality of the old aerial photos and the appearance variations caused by illumination changes, a straightforward solution based on standard algorithms using keypoint matching and sample-based transformation estimation does not exist. The same problem appears for the detection task, which is additionally impeded by the absence of large amounts of training data. Consequently, innovative solutions are required that are tailored to the specific conditions of the problem.


Karsten Lambers

Associate Professor, Archaeological Computer Science, Leiden University
avatar for Arianna Traviglia

Arianna Traviglia

MC+1 Research Fellow, University Ca'Foscari of Venice


Fabian Hollaus

Vienna University of Technology Institute of Computer Aided Automation Computer Vision Lab

Robert Sablatnig

Head of Institute, Vienna University of Technology, Institute of Computer Aided Automation
Robert Sablatnig was born in Klagenfurt, Carinthia, Austria, in 1965. He re­ceived the B.Sc. de­gree in Computer Science in 1988, the M.Sc. de­gree (Diplom Ingenieur) in Computer Science (Computer Graphics, Pat­tern Recognition & Image Processing) in 1992, the Ph.D. degree in... Read More →

Thursday March 31, 2016 08:55 - 09:20 CEST
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