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
2013-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
