In this paper, we explore the topic of geo-tagged photo authentication and introduce a novel forensic tool created to semi-automate the process. We will demonstrate how a photo’s location and time can be corroborated through the correlation of geo-modellable features to embedded visual content. Unlike previous approaches, a machine-vision processing engine iteratively guides users through the photo registration process, building upon available meta-data evidence. By integrating state-of-the-art visual-feature to 3D-model correlation algorithms, camera intrinsic and extrinsic calibration parameters can also be derived in an automatic or semi-supervised interactive manner. Experimental results, considering forensic scenarios, demonstrate the validity of the system introduced.

Geo-positional Image Forensics through Scene-Terrain Registration

Chippendale, Paul Ian;Zanin, Michele;Dalla Mura, Mauro
2013

Abstract

In this paper, we explore the topic of geo-tagged photo authentication and introduce a novel forensic tool created to semi-automate the process. We will demonstrate how a photo’s location and time can be corroborated through the correlation of geo-modellable features to embedded visual content. Unlike previous approaches, a machine-vision processing engine iteratively guides users through the photo registration process, building upon available meta-data evidence. By integrating state-of-the-art visual-feature to 3D-model correlation algorithms, camera intrinsic and extrinsic calibration parameters can also be derived in an automatic or semi-supervised interactive manner. Experimental results, considering forensic scenarios, demonstrate the validity of the system introduced.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/179221
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