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        <p>
        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).
        </p>

        <p>
        This particular photo-masking application is looking at two palstave moulds from Deansfield, one of which is broken in half.
        <p>
        The Deansfield bronze moulds are two halves of two different bivalve moulds used for casting palstaves in the Middle Bronze Age. The models will be used to digitally restore the moulds and investigate the palstave forms that they would have produced.
        </p>

        <p>
        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.
        </p>

        <p>
        If you are interested in what a 3D completed model looks like, please have a look at the example 
        <a target="_blank" href="http://micropasts.org/3D">here</a> for a MicroPasts palstave model.
        </p>

        <h3 class="lead">
            This project is on behalf of:
        </h3>
        <a href="http://britishmuseum.org"><img src="/static/img/bmBlackWhite.png" width="184" height="73" alt="The British Museum logo"/></a>
        <h3>
            Find the code on GitHub
        </h3>
        <a href="https://github.com/MicroPasts/deansfieldB"><img src="https://crowdfunded.micropasts.org/assets/learn/github-ee049d767e762a0c6626051203a31f6e.png" width="117" height="100"></a>
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<commit_msg>Change for markdown<commit_after>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 identifying 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 looking at two palstave moulds from Deansfield, one of which is broken in half.

The Deansfield bronze moulds are two halves of two different bivalve moulds used for casting palstaves in the Middle Bronze Age. The models will be used to digitally restore the moulds and investigate the palstave forms that they would have produced.

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](http://micropasts.org/3D) for a MicroPasts palstave model.

### This project is on behalf of:

[![The British Museum logo](/static/img/bmBlackWhite.png)](http://britishmuseum.org)

### Find the code on GitHub

[![](https://crowdfunded.micropasts.org/assets/learn/github-ee049d767e762a0c6626051203a31f6e.png)](https://github.com/MicroPasts/deansfieldB)
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