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

该项目将开展研究，以获取所需的知识和技能，以实时模拟和呈现照片逼真的织物/服装的行为，从而能够在没有物理原型的情况下设计、电子零售(在线和商店电子零售)和制造时装。这里的创新之处在于，今天世界上任何地方都没有人能够提供与RealFabric相匹配的高质量、实时的面料/服装行为模拟和照片级逼真渲染。这个英国项目团队将模拟、照片真实感渲染、时尚和计算机视觉方面的经验结合在一起，使其成为现实。这项技术将使时尚业出现新的商业模式，使服装可以在生产之前提供给消费者进行互动，例如试穿和搭配服装，以及在购买之前进行个性化例如面料、颜色等。它还将鼓励本地化的按需制造，以缩短交货时间，并支持重振的英国时尚制造业经济。在过去的十年里，萨里大学视觉、语音和信号处理中心率先开发了基于视频的表面运动捕捉技术，使人们能够从多视角视频中获取真实表面动力学的复杂非刚性运动。研究主要集中在使用表面运动捕捉来捕捉演员表演，以支持电影和互动娱乐的视频逼真内容制作。基于视频的表面运动重建可以获得高度非刚性的表面，例如舞蹈演员宽松的衣服。本研究的目标是利用表面运动捕捉的最新进展来实现服装运动的高精度密度重建。这对于现有的运动捕捉技术来说是不可能的，现有的运动捕捉技术需要在布料表面放置标记作为跟踪基准，影响布料的自然运动，并且仅允许在稀疏位置进行运动捕捉。这项研究的一个关键进展将是验证基于视频的表面情感捕获用于测量密集非刚性布料运动的准确性。这将开启表面情感捕捉在服装设计直接应用中的潜在开发，以及作为一种基于视频测量人体软体表面运动的工具在临床应用中的更广泛应用，从生物力学到医学成像期间的非侵入性运动监测。将表面运动捕捉应用于验证基于物理的布料模拟将允许验证方法的有效性，而不仅仅是将其定性地用作电影制作中计算机生成图像的艺术工具。研究将引入定量指标，既可以在受控条件下直接评估简单的布料运动，也可以在无法准确测量驱动运动的接触约束的情况下捕获完整的服装运动。这项研究将在复杂动态场景的真实模拟和基于物理的模拟之间架起一座桥梁。定量评估将验证服装设计中布料模拟的使用，从而实现时尚行业从设计到制造的端到端零原型过程。

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.