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      Innovative Strategies for 3D Visualisation Using Photogrammetry and 3D Scanning for Mobile Phones

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      Proceedings of EVA London 2019 (EVA 2019)

      Electronic Visualisation and the Arts

      8 - 11 July 2019

      Photogrammetry, Augmented reality, Reconstruction, Retopology, 3D-AR pipeline

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          3D model generation through Photogrammetry is a modern overlay of digital information representing real world objects in a virtual world. The immediate scope of this study aims at generating 3D models using imagery and overcoming the challenge of acquiring accurate 3D meshes. This research aims to achieve optimised ways to document raw 3D representations of real life objects and then converting them into retopologised, textured usable data through mobile phones. Augmented Reality (AR) is a projected combination of real and virtual objects. A lot of work is done to create market dependant AR applications so customers can view products before purchasing them. The need is to develop a product independent photogrammetry to AR pipeline, which is freely available to create independent 3D Augmented models. Although for the particulars of this research paper, the aim would be to compare and analyse different open source SDK’s and libraries for developing optimised 3D Mesh using Photogrammetry/3D Scanning which will contribute as a main skeleton to the 3D-AR pipeline. Natural disasters, global political crisis, terrorist attacks and other catastrophes have led researchers worldwide to capture monuments using photogrammetry and laser scans. Some of these objects of “global importance” are processed by companies including CyArk (Cyber Archives) and UNESCO’s World Heritage Centre, who work against time to preserve these historical monuments, before they are damaged or in some cases completely destroyed. The need is to question the significance of preserving objects and monuments, which might be of value locally to a city or town. What is done to preserve those objects? This research would develop pipelines for collecting and processing 3D data so the local communities could contribute towards restoring endangered sites and objects using their smartphones and making these objects available to be viewed in location based AR. There exist some companies, which charge relatively large amounts of money for local scanning projects. This research would contribute as a non-profitable project, which could be later, used in school curriculums, visitor attractions and historical preservation organisations all over the globe at no cost. The scope isn’t limited to furniture, museums or marketing, but could be used for personal digital archiving as well. This research will capture and process virtual objects using Mobile Phones comparing methodologies used in Computer Vision design from data conversion on Mobile phones to 3D generation, texturing and retopologising. The outcomes of this research will be used as input for generating AR, which is application independent of any industry or product.

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          Most cited references 7

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          Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning

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            Data modeling mobile augmented reality: Integrated mind and body rehabilitation

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              Trying all the free Photogrammetry

               D. Falkingham (2016)

                Author and article information

                July 2019
                July 2019
                : 231-236
                School of Design and Informatics

                Abertay University

                Dundee DD1 1HG, Scotland
                © Munir et al. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2019, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit

                Proceedings of EVA London 2019
                EVA 2019
                London, UK
                8 - 11 July 2019
                Electronic Workshops in Computing (eWiC)
                Electronic Visualisation and the Arts
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page):
                Electronic Workshops in Computing


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