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Article

Computational Techniques Enabling the Perception of Virtual Images Exclusive to the Retinal Afterimage

1
Honours Academy, Universiteit Leiden, 2311 EZ Leiden, The Netherlands
2
Multimedia & Cultuur, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editors: Carson K. Leung and Min Chen
Big Data Cogn. Comput. 2022, 6(3), 97; https://doi.org/10.3390/bdcc6030097
Received: 28 November 2021 / Revised: 20 August 2022 / Accepted: 23 August 2022 / Published: 13 September 2022
(This article belongs to the Special Issue Virtual Reality, Augmented Reality, and Human-Computer Interaction)
The retinal afterimage is a widely known effect in the human visual system, which has been studied and used in the context of a number of major art movements. Therefore, when considering the general role of computation in the visual arts, this begs the question whether this effect, too, may be induced using partly automated techniques. If so, it may become a computationally controllable ingredient of (interactive) visual art, and thus take its place among the many other aspects of visual perception which already have preceded it in this sense. The present moment provides additional inspiration to lay the groundwork for extending computer graphics in general with the retinal afterimage: Historically, we are in a phase where some head-mounted stereoscopic AR/VR technologies are now providing eye tracking by default, thereby allowing realtime monitoring of the processes of visual fixation that can induce the retinal afterimage. A logical starting point for general investigation is then shape display via the retinal afterimage, since shape recognition lends itself well to unambiguous reporting. Shape recognition, however, may also occur due to normal vision, which happens simultaneously. Carefully and rigorously excluding this possibility, we develop computational techniques enabling shape display exclusive to the retinal afterimage. View Full-Text
Keywords: arts and humanities; visual arts; visual perception; retinal afterimage; parsimonious mathematical modeling; computational techniques; rendering and visualization; shape display arts and humanities; visual arts; visual perception; retinal afterimage; parsimonious mathematical modeling; computational techniques; rendering and visualization; shape display
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MDPI and ACS Style

de Jong, S.; van der Veer, G. Computational Techniques Enabling the Perception of Virtual Images Exclusive to the Retinal Afterimage. Big Data Cogn. Comput. 2022, 6, 97. https://doi.org/10.3390/bdcc6030097

AMA Style

de Jong S, van der Veer G. Computational Techniques Enabling the Perception of Virtual Images Exclusive to the Retinal Afterimage. Big Data and Cognitive Computing. 2022; 6(3):97. https://doi.org/10.3390/bdcc6030097

Chicago/Turabian Style

de Jong, Staas, and Gerrit van der Veer. 2022. "Computational Techniques Enabling the Perception of Virtual Images Exclusive to the Retinal Afterimage" Big Data and Cognitive Computing 6, no. 3: 97. https://doi.org/10.3390/bdcc6030097

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