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

本项目将进行研究，以获取所需的知识和技能，实时模拟和渲染逼真的织物/服装的行为，从而实现零实物原型的设计、电子零售（在线和实体店的电子零售）和制造时尚服装。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高质量的、实时的织物/服装行为模拟和与真实织物相匹配的逼真渲染。这个英国项目团队汇集了模拟，逼真渲染，时尚和计算机视觉方面的经验，使其成为现实。这项技术将为时尚行业带来新的商业模式，例如，服装可以在生产之前提供给消费者，以进行互动，例如试穿和服装混合，以及个性化，例如面料，颜色等。它还将鼓励按需本地化生产，以缩短交货时间，并支持英国时尚制造业经济的复苏。这项技术在时尚行业之外也有应用，比如视频游戏、电影制作和广告。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，从而可以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动作捕捉来捕捉演员的表演，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允许获得高度非刚性的表面，例如跳舞演员宽松的衣服。提出的研究目标是利用表面运动捕捉的最新进展，以实现服装运动的高精度密集构造。现有的动作捕捉技术不可能做到这一点，因为这些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，并且只允许在稀疏的位置进行动作捕捉。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的准确性，以测量密集的非刚性布料运动。这将打开表面情感捕获的潜在开发，在服装设计的直接应用和更广泛的应用中，作为基于视频的人体软体表面运动测量工具，在临床应用中，从生物力学到医学成像过程中的非侵入性运动监测。将表面动作捕捉应用于验证基于物理的布料模拟，将允许验证方法，而不仅仅是定性地使用它们作为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，用于直接评估受控条件下的简单布料运动，以及无法精确测量驱动运动的接触约束的完整服装运动捕捉。这项研究将弥合现实世界和基于物理的复杂动态场景模拟之间的差距。定量评估将验证服装设计中布料模拟的使用，从而为时装业实现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.