Category: Deep Learning

AAE_Stereo_deoldify 0

Colourising Stereoscopic Glass Plates with Deep Learning

13 years ago, in 2006, I was commissioned to produce a stereoscopic movie by the Tasmanian Museum and Art Gallery (TMAG) for their then-new ‘Islands to Ice‘ Antarctic exhibition, based upon stereoscopic glass plates taken during the 1911-14 Australasian Antarctic Expedition. It arose from research I was doing at the...

Hurley - Bage - Mawson, 3D Reconstruction 0

AAE: Digital Ghosts Project

The AAE Digital Ghosts project develops and implements novel techniques in Deep Learning (DL) in application to Antarctic Cultural Heritage. Recent developments in DL facilitate the automated colourisation and extraction (or recreation) of three-dimensional data from black and white source photographs. In concert with conventional 3D-modelling and animation techniques, these reveal...

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Deep Learning for Heritage Visualisation

Deep Learning can be employed in a variety of cultural heritage visualisation and reconstruction tasks. It is part of a family of machine learning approaches based upon the idea of ‘learning’ data representations through kernel-based algorithms that encode high dimensional abstractions in ‘deep’ or embedded artificial neural networks (ANNs). There...