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      Enhancing Perception of Complex Sculptural Forms Using Interactive Real-time Ray Tracing

      Proceedings of EVA London 2020 (EVA 2020)

      AI and the Arts: Artificial Imagination

      6th July – 9th July 2020

      Generative art, Computational art, Depth perception, Real-time interaction, Ray tracing, Graphics processing units

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper looks at experiments into using real-time ray tracing to significantly enhance shape perception of complex three-dimensional digitally created structures. The author is a computational artist whose artistic practice explores the creation of intricate organic three-dimensional forms using simulation of morphogenesis. The generated forms are often extremely detailed, comprising tens of millions of cellular primitives. This often makes depth perception of the resulting structures difficult. His practice has explored various techniques to create presentable artefacts from the data, including high resolution prints, animated videos, stereoscopic installations, 3D printing and virtual reality. The author uses ray tracing techniques to turn the 3D data created from his morphogenetic simulations into visible artefacts. This is typically a time-consuming process, taking from seconds to minutes to create a single frame. The latest generation of graphics processing units offer dedicated hardware to accelerate ray tracing calculations. This potentially allows the generation of ray traced images, including self-shadowed complex structures and multiple levels of transparency, from new viewpoints at frame rates capable of real-time interaction. The author presents the results of his experiments using this technology with the aim of providing significantly enhanced perception of his generated three-dimensional structures by allowing user-initiated interaction to generate novel views, and utilising depth cues such as stereopsis, depth from motion and defocus blurring. The intention is for these techniques to be usable to present new exhibitable works in a gallery context.

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          Most cited references 10

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          Distributed ray tracing

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            Efficient algorithms for local and global accessibility shading

             Gavin Miller (1994)
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              Species Explorer: An interface for artistic exploration of multi-dimensional parameter spaces

               Andy Lomas (2016)
              This paper describes Species Explorer, an interface to allow creative exploration of generative systems with multi-dimensional parameter spaces. The system combines both evolutionary and machine learning approaches. It was originally designed to assist creating work for the author’s ‘Cellular Forms’ and ‘Hybrid Forms’ series, where a large number of parameters are used to yield emergent results, but is a general framework that could be applied to many other systems.
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                Author and article information

                Contributors
                Conference
                July 2020
                July 2020
                : 206-211
                Affiliations
                Goldsmiths, University of London

                London SE14 6NW, UK
                Article
                10.14236/ewic/EVA2020.37
                © Lomas. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2020

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of EVA London 2020
                EVA 2020
                30
                London
                6th July – 9th July 2020
                Electronic Workshops in Computing (eWiC)
                AI and the Arts: Artificial Imagination
                Product
                Product Information: 1477-9358 BCS Learning and Development Ltd
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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