e-space
Manchester Metropolitan University's Research Repository

    Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

    Collins, Timothy ORCID logoORCID: https://orcid.org/0000-0003-2841-1947, Woolley, Sandra, Gehlken, Erlend and Ch'ng, Eugene (2019) Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts. Electronics, 8 (12). ISSN 2079-9292

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution.

    Download (1MB) | Preview

    Abstract

    The photogrammetric acquisition of 3D object models can be achieved by Structure from Motion (SfM) computation of photographs taken from multiple viewpoints. All-around 3D models of small artefacts with complex geometry can be difficult to acquire photogrammetrically and the precision of the acquired models can be diminished by the generic application of automated photogrammetric workflows. In this paper, we present two versions of a complete rotary photogrammetric system and an automated workflow for all-around, precise, reliable and low-cost acquisitions of large numbers of small artefacts, together with consideration of the visual quality of the model textures. The acquisition systems comprise a turntable and (i) a computer and digital camera or (ii) a smartphone designed to be ultra-low cost (less than $150). Experimental results are presented which demonstrate an acquisition precision of less than 40 μm using a 12.2 Megapixel digital camera and less than 80 μm using an 8 Megapixel smartphone. The novel contribution of this work centres on the design of an automated solution that achieves high-precision, photographically textured 3D acquisitions at a fraction of the cost of currently available systems. This could significantly benefit the digitisation efforts of collectors, curators and archaeologists as well as the wider population.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    328Downloads
    6 month trend
    292Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record