The 3D reconstruction of real-world heritage objects using either a laser scanner or 3D modelling software is typically expensive and requires a high level of expertise. Image-based 3D modelling software, on the other hand, offers a cheaper alternative, which can handle this task with relative ease. There also exists free and open source (FOSS) software, with the potential to deliver quality data for heritage documentation purposes. However, contemporary academic discourse seldom presents survey-based feature lists or a critical inspection of potential production pipelines, nor typically provides direction and guidance for non-experts who are interested in learning, developing and sharing 3D content on a restricted budget. To address the above issues, a set of FOSS were studied based on their offered features, workflow, 3D processing time and accuracy. Two datasets have been used to compare and evaluate the FOSS applications based on the point clouds they produced. The average deviation to ground truth data produced by a commercial software application (Metashape, formerly called PhotoScan) was used and measured with CloudCompare software. 3D reconstructions generated from FOSS produce promising results, with significant accuracy, and are easy to use. We believe this investigation will help non-expert users to understand the photogrammetry and select the most suitable software for producing image-based 3D models at low cost for visualisation and presentation purposes.
The domain of cultural heritage is on the verge of adopting immersive technologies; not only to enhance user experience and interpretation but also to satisfy the more enthusiastic and tech-savvy visitors and audiences. However, contemporary academic discourse seldom provides any clearly defined and versatile workflows for digitising 3D assets from photographs and deploying them to a scalable 3D mixed reality (MxR) environment; especially considering non-experts with limited budgets. In this paper, a collection of open access and proprietary software and services are identified and combined via a practical workflow which can be used for 3D reconstruction to MxR visualisation of cultural heritage assets. Practical implementations of the methodology has been substantiated through workshops and participants' feedback. This paper aims to be helpful to non-expert but enthusiastic users (and the GLAM sector) to produce image-based 3D models, share them online, and allow audiences to experience 3D content in a MxR environment.
Abstract. The development of approaches for synthesis and optimization of reversible circuits received significant attention in the past. This is partly due to the increasing emphasis on low power design methodologies, and partly motivated by recent works in quantum computation. While most of them relied on a gate library composed of multiple-control Toffoli (MCT) gates with positive control lines, some initial works also exist which additionally incorporate negative control lines. This usually leads to smaller circuits with respect to the number of gates as well as the corresponding quantum costs. However, despite these benefits, negative control lines have hardly been considered in post-synthesis optimization of reversible circuits so far. In this paper, we address this issue. We are presenting an optimization scheme inspired by template matching which explicitly makes use of negative control lines. Experimental evaluations demonstrate that exploiting negative control lines in fact lead to a reduction in the number of gates and the quantum costs by up to 60% and 25%, respectively.
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