Picture of a black hole

Strathclyde Open Access research that creates ripples...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of research papers by University of Strathclyde researchers, including by Strathclyde physicists involved in observing gravitational waves and black hole mergers as part of the Laser Interferometer Gravitational-Wave Observatory (LIGO) - but also other internationally significant research from the Department of Physics. Discover why Strathclyde's physics research is making ripples...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Information hiding through variance of the parametric orientation underlying a B-rep face

Salamon, C. and Corney, J.R. and Ritchie, J.M. (2008) Information hiding through variance of the parametric orientation underlying a B-rep face. In: Information Hiding: 10th International Workshop, IH 2008, Sana Barbara, CA, USA, May 19-21, 2008, Revised Selected Papers. Lecture Notes in Computer Science, 5284 . Springer, Berlin, Germany, pp. 268-282. ISBN 9783540889601

[img]
Preview
PDF (IH_2008_Final.pdf)
IH_2008_Final.pdf

Download (415kB) | Preview

Abstract

Watermarking technologies have been proposed for many different,types of digital media. However, to this date, no viable watermarking techniques have yet emerged for the high value B-rep (i.e. Boundary Representation) models used in 3D mechanical CAD systems. In this paper, the authors propose a new approach (PO-Watermarking) that subtly changes a model's geometric representation to incorporate a 'transparent' signature. This scheme enables software applications to create fragile, or robust watermarks without changing the size of the file, or shape of the CAD model. Also discussed is the amount of information the proposed method could transparently embed into a B-rep model. The results presented demonstrate the embedding and retrieval of text strings and investigate the robustness of the approach after a variety of transformation and modifications have been carried out on the data.