Growth-based 3D modelling using stem-voxels encoded in digital-DNA structures

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    Abstract

    Leaps in technology are increasingly making the prospect of using biological structures as part of digital models and artwork a tangible reality. In this work a new method heavily inspired by natural biological processes for 3D modelling and animation is proposed. The proposed approach differentiates from the classic assembly or printing methodologies and offers a novel growth based solution for the design and modelling of 3D structures. In order to facilitate the needs of growth based modelling, new terms and graphic primitives such as stem-voxels, muscle-voxels, bone-voxels and digital-DNA are introduced. The core production rules of a novel context free grammar were implemented allowing 3D model designers to build the digital-DNA of a 3D model that the introduced parser will interpret to a full 3D structure. The obtained 3D models support animation using the muscle-voxels, they are able to observe the environment using photoreceptor-voxels and interact with a level of intelligence based on neural networks build with nerve-voxels. The proposed solution was evaluated with a variety of volumetric models demonstrating a strong potential and impact, with many applications and offering a new tool for 3D modelling systems.
    Original languageEnglish
    DOIs
    Publication statusPublished - Dec 2020
    EventSIGGRAPH Asia 2020 - Republic of Korea (Held online)
    Duration: 4 Dec 202013 Dec 2020

    Conference

    ConferenceSIGGRAPH Asia 2020
    Period4/12/2013/12/20

    Bibliographical note

    Note: Published in SA'20 Posters : SIGGRAPH Asia 2020 Posters Proceedings. ISBN 9781450381130. It is Article No. 27.

    Keywords

    • Computer science and informatics

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    • Growth-based 3D modelling using stem-voxels encoded in digital-DNA structures

      Raymond, T., Li, V. & Argyriou, V., Dec 2020, Published in SA'20 Posters : SIGGRAPH Asia 2020 Posters Proceedings. ISBN 9781450381130. It is Article No. 27..

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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