Sometimes Your Eyes Do Not See
DOI:
https://doi.org/10.21814/vista.5887Keywords:
histogram of oriented gradients, machine vision, photography, art practicesAbstract
Since its early days, machine vision has been deeply dependent on photographic databases. As visually "intelligent" machines have rapidly advanced, this connection has strengthened and reversed the equation, with contemporary photographic imagery significantly influenced by the techniques developed in computer sciences. Using a technique called "histogram of oriented gradients", Sometimes Your Eyes Do Not See explores the machinic gaze that increasingly permeates contemporary artistic practices and reflects on the ways it affects our perception of the world.
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References
Crary, J. (1992). Techniques of the observer: On vision and modernity in the 19th century. The MIT Press.
Paglen, T. (2014). Is photography over? Fotomuseum Winterthur. https://www.fotomuseum.ch/en/series/is-photography-over/
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Treccani, C. (2018). How machines see the world: Understanding image annotation. European Journal of Media Studies, 7(1), 235–254. https://doi.org/10.25969/mediarep/3425
Yiu, S. (2023). The convergence of art and science: SheungYiu's insights into image studies. Falling Walls.
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Copyright (c) 2024 Carloalberto Treccani
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors own the copyright, providing the journal with the right of first publication. The work is licensed under a Creative Commons Attribution 4.0 International License.