Body Shape Recognition for Online Fashion

在线时尚体型识别

• 批准号: EP/I032169/1
• 负责人: Philip Delamore
• 金额: $ 20.82万
• 依托单位: University of the Arts London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FI032169%2F1
• 关键词: Body; Shape; Recognition; Online; Fashion

We are proposing to develop an online tool that will give potential benefit to many, allowing an untrained user to realise their body size and shape, from their own home, using a standard digital camera/webcam. At present, the majority of body scanning technologies deployed in retail environments are expensive and require dedicated technical support, confining their use to high-end department stores and specialist sports retailers. The fashion, social and economic benefits that body scanning offers are therefore inaccessible to the majority of the general public. This project aims to exploit low cost webcam/cameras to reformat this technology into a service that isn't reliant upon specialist hardware, and to reprogram the experience out from the controlled retail environment and into the home.There are both technical and cultural challenges to be addressed before we can achieve our goal and we have created a collaborative partnership to deal with them. Our proposed scanning technology is based upon photogrammetry, a branch of Computer Science that aims to extract 3D information from one or more 2D images. The images are usually taken from known locations with calibrated cameras, however these are two dependencies that we plan to remove from this technology from the outset. If enough prior knowledge about standard body shape, structure and posture is known, both physiological and fashion insights included, a tool can be designed to be more intelligent and less reliant upon resolution or use of multiple views. Through a double-pronged approach that uses innovative Computer Vision techniques to construct an initial model, to refinement by the application of style ontologies and retailer metadata, we aim to create a tool that will offer benefits to consumer, retailer and manufacturer alike. We will work closely with our industry partner to help us define the base requirements of our data capture tool. This will include online clothing brands that also have production interests and are working with Bodymetrics@Selfridges to develop custom fit clothing. The potential for this home sizing tool to enable a wider infrastructure of rapid manufacturing and leaner distribution networks has led us to approach a particular type of retailer that would benefit greatly from a reduction in purchase returns and greater market insights. We plan to develop a prototype for integration within our industry partner's website, we will link to its stock database and our initial trial will aim to size a user group, and recommend them items from the partner's stock. Results will be judged upon the user group's feedback, and the webcam-based tool will be re-specified as new knowledge is gained. Qualitative research will also be undertaken on the user experience arising from using a webcam and solutions will be developed to encourage the user, with possible amendments made to account for cultural differences and perceptions on trust and security. The research offers the potential for the project team to research the user experience, which is a significant contributor to the slow take up to date of scanning technology. The project will help to catalyse the uptake of mass-customisation of garments, which is fundamentally a new business model. In this paradigm, garments are produced 'on-demand' for a particular customer's fit and style preferences. This allows the retailer to obtain monies from customers before the products are produced; a 'reverse' of the standard cash-flow dynamics of retail and establishing a very attractive business model for clothing retailers.The project can also develop the efficiencies of the current business models practised by on-line retailers by helping to 'lower the cost of information'. The method that the project is aiming to pioneer can be seen as an efficient way to 'search for clothes' on-line as it helps to match an individual's body with garments that fit that person.

我们提议开发一种在线工具，这将为许多人带来潜在的好处，允许未经培训的用户使用标准的数码相机/网络摄像头，在自己的家中了解自己的身体尺寸和体型。目前，在零售环境中部署的大多数身体扫描技术都很昂贵，需要专门的技术支持，仅限于高端百货商店和专业体育零售商使用。因此，身体扫描所带来的时尚、社会和经济利益是大多数普通公众无法获得的。该项目旨在开发低成本的网络摄像头/摄像头，将这项技术重新格式化为一种不依赖于专业硬件的服务，并将体验从受控零售环境重新编程到家庭中。在我们实现目标之前，有技术和文化挑战需要解决，我们已经建立了合作伙伴关系来应对这些挑战。我们建议的扫描技术基于摄影测量学，这是计算机科学的一个分支，旨在从一个或多个2D图像中提取3D信息。这些图像通常是用校准过的相机从已知位置拍摄的，然而，我们计划从一开始就消除这项技术的两个依赖。如果对标准的身体形状、结构和姿势有足够的先验知识，包括生理和时尚方面的洞察，就可以设计出更智能的工具，减少对分辨率或使用多个视图的依赖。通过使用创新的计算机视觉技术构建初始模型，再通过应用风格本体和零售商元数据进行细化的双管齐下的方法，我们的目标是创建一种将为消费者、零售商和制造商提供利益的工具。我们将与我们的行业合作伙伴密切合作，帮助我们定义数据捕获工具的基本要求。这将包括在线服装品牌，这些品牌也有生产兴趣，并正在与Bodymetrics@SelFridges合作开发定制适合的服装。这种家庭规模调整工具的潜力使我们能够实现更广泛的基础设施，包括快速制造和更精简的分销网络，这让我们找到了一种特定类型的零售商，这种零售商将从减少采购退货和更深入的市场洞察中受益匪浅。我们计划开发一个整合在我们的行业合作伙伴网站内的原型，我们将链接到其库存数据库，我们的初步试验将旨在确定用户群体的大小，并从合作伙伴的库存中向他们推荐项目。结果将根据用户组的反馈进行判断，并将在获得新知识后重新指定基于网络摄像头的工具。还将对使用网络摄像头产生的用户体验进行定性研究，并将制定解决方案以鼓励用户，并可能作出修改，以考虑到文化差异和对信任和安全的看法。这项研究为项目团队提供了研究用户体验的潜力，这是扫描技术应用缓慢的重要原因。该项目将有助于促进服装大规模定制的普及，这从根本上说是一种新的商业模式。在这种模式下，服装是根据特定客户的合身和款式偏好“按需”生产的。这使得零售商可以在产品生产之前从客户那里获得资金；这与零售业的标准现金流动态相反，并为服装零售商建立了一个非常有吸引力的商业模式。该项目还可以通过帮助“降低信息成本”来提高在线零售商目前实施的商业模式的效率。该项目旨在开拓的方法可以被视为一种有效的在线搜索衣服的方式，因为它有助于将一个人的身体与适合他的衣服相匹配。