Fashion garment design, e-tailing and manufacturing with zero prototyping.

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This project will carry out research to acquire the knowledge and skills required to simulate the behaviour of, and renderphotorealistic fabric/garment, in real-time, to enable the design, e-tailing (electronic retailing on-line and in store) andmanufacturing of fashion clothing with zero physical prototypes. The innovation here is that no one today, anywhere in theworld, is delivering high quality, real-time fabric/garment behaviour simulation and photorealistic rendering matched to realfabric. This UK project team brings together the experience in simulation, photorealistic rendering, fashion and computervision to make this a reality. This technology would enable new business models in the fashion industry, such thatgarments could be offered to consumers prior to manufacture for interaction e.g. try-on and outfit mixing, andpersonalisation e.g. fabrics, colours etc. before purchase. It would also encourage localised manufacture-on-demand tomeet shorter delivery times and support a revitalised UK fashion manufacturing economy. There are also applications forthis 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 thedevelopment of video-based surface motion capture to allow the acquisition of complex non-rigid motion of real surfacedynamics from multiple view video. Research has primarily focused on the use of surface motion capture to capture actorperformance to support video-realistic content production for film and interactive entertainment. Video-basedreconstruction of surface motion allows the acquisition of highly non-rigid surfaces such as the loose dress of a dancingactor.The goal of the proposed research is to exploit recent advances in surface motion capture to enable high-accuracy densereconstruction of garment motion. This is not possible with existing motion capture technologies which require theplacement of markers as tracking fiducials on the cloth surface affecting the natural cloth motion and only allowing motioncapture at sparse locations. A critical advance in this research will be verfication of the accuracy of video-based surfacemotion capture for measurement of dense non-rigid cloth motion. This will open-up the potential exploitation of surfacemotion 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-invasivemonitoring of movement during medical imaging.Application of surface motion capture to verification of physics-based cloth simulation will allow validation of methodsbeyond their qualitative use as artistic tools for computer generated imagery in film production. Research will introducequantitative metrics for both direct evaluation of simple cloth motion under controlled conditions and full garment motioncapture where it is not possible to accurately measure the contact constraints driving the motion. This research will bridgethe gap between the real-world and physics-based simulation of complex dynamic scenes. Quantitative evaluation willvalidate the use of cloth simulation in garment design enabling an end-to-end zero-prototyping process from design tomanufacture for the fashion industry.