More Rock Carvings At Stonehenge Revealed

A new preprint paper discusses novel techniques 

for enhancing the visualization and recognition of rock carvings at Stonehenge.

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The study introduces two new methods, difference of Gaussians (DoG) and pseudo-depth mapping (PDM), and compares them with existing techniques like radiance scaling and openness.

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Additionally, a machine learning classifier, MeshNet, is adapted for carving recognition.

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The DoG method identified two new carvings and several potential areas of carvings, while PDM revealed two additional carvings.

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MeshNet achieved a 91.0% accuracy in distinguishing carved from non-carved surfaces.

​ The study concludes that these methods can significantly improve the identification of highly faded carvings and suggests further research into automated carving recognition.

The paper is freely available:

Leong, Gavin and Brolly, Matthew and Anderson-Whymark, Hugo and Nash, David and Bedford, Jon, Novel Approaches for Enhanced Visualisation and Recognition of Rock Carvings at Stonehenge. Available at SSRN: https://ssrn.com/abstract=5126093 or http://dx.doi.org/10.2139/ssrn.5126093

I would be interested if they looked for Atkinson's dagger carvings on Stone 11 as well.

https://www.sarsen.org/2024/09/the-mystery-of-dagger-carvings-on-stone.html