Photo Masking the Southall Hoard

100% completed

This application enables the creation of a high quality 3D model of an archaeological artefact via process known as photo-masking. There has been a revolution in 3D modelling in recent years and it is now relatively easy to construct such models from ordinary digital photographs. Isolating the object depicted in these photographs, and masking out the background, is an important first step to achieving high quality results. The final 3D model will be made publicly available and is useful not only for basic documentation purposes, but also for graphical displays in museums, for inclusion in gaming and virtual reality environments, or for identifing different sub-styles in otherwise similar types of artefact (that might tell us about the date of the artefact, where it was made, or by whom).

This particular photo-masking application is dedicated to the Southall Hoard. The three palstaves included in this application are part of a larger hoard containing a mould for a socketed axe, bronze annular ring and a piece of copper cake. From a typological perspective the palstaves are Middle Bronze Age, however the presence of a socketed axe mould suggests a Late Bronze Age date for this hoard.

We would like people to draw a polygon around the object that they see in each photograph in order to identify its outline and exclude the image background. This allows the 3D modelling process to concentrate on the object itself and ignore irrelevant background information.

If you are interested in what a 3D completed model looks like, please have a look at the example here for a MicroPasts palstave model.

Thank you!

Hugh Fiske, Ernst Schnell, Jeff Okazaki, Joellen mcGann, Jane Fellows, Soph Davies, Olga Michalaka, Heidi Lund, Maria Christakou, Michael George Adams, Darren Kinsman, Tulsi Parikh, Wally1976, David Ingram, Laura Vodden, Rose Green, Clark Collett, Davide and other anonymous contributors for completing this application.

This project is on behalf of:

The British Museum logo

Find the code on GitHub