Working with Computer Vision

Recently I attended a workshop by Dr Giles Birgel in which he spoke about the use of Computer Vision software in Digital Humanities. As someone who is passionate about Digital Curation, I found this workshop hugely beneficial as it gave a look at some of the programmes that can be used in this field. The definition of Computer Vision is ‘gaining high-level understanding from digital images’ (‘Computer Vision’). Dr Birgel gave a few examples in which this can be used for example, for identifying recurring patterns in art pieces or even on book covers.  This interested me a great deal coming from both an DH undergrad and a MA Global Gallery Studies viewpoint as images and art pieces need digital curation around the world. In a lot of cases, the identities of the artists are a mystery due to the loss of the information. Using Computer Vision, it could be possible to identify an artist’s work by scanning and comparing a recognised artwork to an artwork whose artist is unknown. By looking at the style of the painting, Computer Vision can distinguish different features of the paintings which could help to discover who the original artist is. (Brownlee)

Going forward, this kind of technology will be hugely beneficial in transferring the traditional artworks into the digital age. The technology is far from complete and can have many different features and uses in years to come especially with the increase of institutions wanting to digitise their records and pieces in storage.

References

Brownlee, Jason. ‘A Gentle Introduction to Computer Vision’. Machine Learning Mastery, 18 Mar. 2019, https://machinelearningmastery.com/what-is-computer-vision/.

‘Computer Vision’. Wikipedia, 12 Oct. 2019. Wikipedia, https://en.wikipedia.org/w/index.php?title=Computer_vision&oldid=920904355.