| EPSRC Reference: |
EP/M506801/1 |
| Title: |
Fashion garment design, e-tailing and manufacturing with zero prototyping. |
| Principal Investigator: |
Hilton, Professor A |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Vision Speech and Signal Proc CVSSP |
| Organisation: |
University of Surrey |
| Scheme: |
Technology Programme |
| Starts: |
20 October 2014 |
Ends: |
19 April 2016 |
Value (£): |
150,918
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| EPSRC Research Topic Classifications: |
| Design & Testing Technology |
Manufacturing Machine & Plant |
| Materials Processing |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
This project will carry out research to acquire the knowledge and skills required to simulate the behaviour of, and render
photorealistic fabric/garment, in real-time, to enable the design, e-tailing (electronic retailing on-line and in store) and
manufacturing of fashion clothing with zero physical prototypes. The innovation here is that no one today, anywhere in the
world, is delivering high quality, real-time fabric/garment behaviour simulation and photorealistic rendering matched to real
fabric. This UK project team brings together the experience in simulation, photorealistic rendering, fashion and computer
vision to make this a reality. This technology would enable new business models in the fashion industry, such that
garments could be offered to consumers prior to manufacture for interaction e.g. try-on and outfit mixing, and
personalisation e.g. fabrics, colours etc. before purchase. It would also encourage localised manufacture-on-demand to
meet shorter delivery times and support a revitalised UK fashion manufacturing economy. There are also applications for
this technology beyond the fashion industry, such as video games, movie production and advertising.
Over the past decade the University of Surrey, Centre for Vision, Speech and Signal Processing has pioneered the
development of video-based surface motion capture to allow the acquisition of complex non-rigid motion of real surface
dynamics from multiple view video. Research has primarily focused on the use of surface motion capture to capture actor
performance to support video-realistic content production for film and interactive entertainment. Video-based
reconstruction of surface motion allows the acquisition of highly non-rigid surfaces such as the loose dress of a dancing
actor.
The goal of the proposed research is to exploit recent advances in surface motion capture to enable high-accuracy dense
reconstruction of garment motion. This is not possible with existing motion capture technologies which require the
placement of markers as tracking fiducials on the cloth surface affecting the natural cloth motion and only allowing motion
capture at sparse locations. A critical advance in this research will be verfication of the accuracy of video-based surface
motion capture for measurement of dense non-rigid cloth motion. This will open-up the potential exploitation of surface
motion capture in both the immediate application of garment design and wider application as a tool for video-based measurement of human soft-body surface motion in clinical applications ranging from biomechanics to non-invasive
monitoring of movement during medical imaging.
Application of surface motion capture to verification of physics-based cloth simulation will allow validation of methods
beyond their qualitative use as artistic tools for computer generated imagery in film production. Research will introduce
quantitative metrics for both direct evaluation of simple cloth motion under controlled conditions and full garment motion
capture where it is not possible to accurately measure the contact constraints driving the motion. This research will bridge
the gap between the real-world and physics-based simulation of complex dynamic scenes. Quantitative evaluation will
validate the use of cloth simulation in garment design enabling an end-to-end zero-prototyping process from design to
manufacture for the fashion industry.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.surrey.ac.uk |