Pointfuse Software Brings Laser Scanned Point Clouds Front of Stage for Theatrework

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Maidenhead, UK, 19 June 2018 – Theatrework UK, a Glasgow based production company, is using laser scanners and 3D computer modeling technology to help visualize stage productions. Using Pointfuse software, laser scanned data – point clouds – are processed in minutes to create highly accurate 3D models. These models allow production designers to conceptualize ideas within the venue scans and technical staff to visualize touring productions at different venues.

 

Venues can use the imagery to plan for visiting companies and scans, complete with designed elements, can be shared online using Pointfuse to reduce and enhance the visualizations. The Pointfuse models can be integrated with other types of data and are compatible with mobile and desktop devices and even Virtual Reality applications.

 

“Early on, we evaluated a number of software applications usually linked to sectors outside of the performing arts,” commented Stephen Roe, Managing Director and founder of Theatrework UK. “Pointfuse offered an advanced solution for reducing the size of the point cloud data and enhancing its interoperability by converting points to vector models. In addition, existing links with point cloud editing software, such as Rhino and Veesus, made Pointfuse an obvious addition to our workflow.”

 

So far Theatrework has created, using Pointfuse, 3D models of three different venues. With seed funding from the Royal Conservervatoire (RSC) of Scotland, a world-leading conservatoire of music, drama, dance, production and film based in Glasgow, Theatrework aims to create a comprehensive database of event spaces in the UK.

 

“Compared to more traditional surveying methods laser scanning provides a fundamental step change in the ease of data capture, the quality and accuracy of measurements and, using Pointfuse, the onward processing and ease of use of scanned data,” continued Roe. “The process is relevant to the performing arts as it allows designers and technical managers to import scan data into their CAD software, or export their CAD drawings to the venue scans, to visualize design concepts and troubleshoot production problems.”

 

Laser scanned data, captured by Theatrework and processed using Pointfuse, has also been used in a Glasgow School of Art project that centred on the potential of Virtual Reality to re-stage archive performances in cultural settings. The project undertaken by MSc student Nick Bottemley, supported by Theatrework, saw the merging of the Pointfuse model with archive material found at the Pearce Institute Glasgow. This provided an excellent illustration of how Pointfuse vector models can be applied to the archiving of significant cultural events for future generations to experience.

 

CONTACTS:

Editorial enquiries to Robert Peel, robert@market-it.co.uk, +44 (0)1666 823306

Reader and advertising enquiries to Mark Senior, mark.senior@pointfuse.com, +44 (0) 208 017 8600

Color separation requests to robert@market-it.co.uk 

http://pointfuse.com

 

Notes to Editors:

 

Pointfuse is a powerful modeling engine that delivers an automatic, precise and flexible way of converting the vast point cloud datasets generated by laser scanners or photogrammetry into segmented mesh models. Pointfuse uses advanced statistical techniques to create 3D models where individual surfaces can be selected and classified as new layers in the Pointfuse environment and exported to IFC and FBX for manipulation in any industry-standard CAD system.

 

Offering ‘selectable surfaces’, Pointfuse provides a unique approach. Surfaces within the 3D mesh models produced by Pointfuse V3 can now be identified, grouped and classified. These advancements within Pointfuse bring a catalyst to the workflow of design and engineering projects, offering efficiencies that have not been possible when working with point clouds or traditional mesh models.

 

Pointfuse also significantly reduces the file size of 3D models created from point clouds. In simple terms, the data density within each surface is reduced whilst still maintaining the fidelity of the model. This results in a reduction in model size by a factor of ten, making ongoing use of the model easier, faster and more efficient.

 

www.pointfuse.com

 

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