360 Spins to High Resolution 3D Models
3D model of the reconstructed sculpture on Sketchfab.com
You can rotate the object or zoom in to examine it closer. You can also look at in VR.
In this video clip you can see the various stages of photogrammetic reconstruction, like in the header image. Some real photos used as reference for the reconstruction are seen on the top left and the point cloud is visible on the top right. Below you can see the textured and untextured models.
Useful links and resources
If you are interested to learn more about the PhotoRobot, archives or would like to come and use it check out the links below.
3D gallery of digitized assets on Sketchfab
Aalto Archives website on Aalto.fi
Over a thousand objects have been photographed from the The Aalto Archives Ceramics Collection from 2020-2021 and they are currently being converted into 3D assets. This represents around 20% of the entire collection which spans back to the 1960's, featuring notable student practice works and exhibition items. The Collection was started by artist and lecturer Kyllikki Salmenhaara and later continued by professors and teachers until the late 90's.
Aalto University Archives is responsible for the long-term preservation, digitisation and information service of documents and audio-visual collections born from learning, research and artistic activities of the University.
The archives are open to all researchers and are located at Otaniemi campus. Before visiting, please contact: [email protected]
Ceramics archive on Finna.fi
See the digitized archive on Finna.fi
For those interested in seeing the objects in real life contact [email protected]
Specifications of the Photorobot and more
This news article has some more information about the equipment used and how you can book a time to scan an item for yourself. You can also volunteer to better understand what it's all about and see if it's the correct tool for your project.
Reserve a time
The PhotoRobot is available to staff and students every Wednesday. Typically an object takes around 1 hour to capture, though results may vary depending on the object in question.