Industrial Doctorate Centre: Virtual Environments, Imaging and Visualisation

工业博士中心：虚拟环境、成像和可视化

• 批准号: EP/G037159/1
• 负责人: Anthony Steed
• 金额: $ 719.87万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Training Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FG037159%2F1
• 关键词: Industrial; Doctorate; Centre; Virtual; Environments

In redeveloping the EngD VEIV centre, we will be focussing on three themes in the area: - Vision & Imaging, covering the areas of computer-based interpretation of images. For example, object tracking in real-time video, or face detection and surface appearance capture. UCL now has a broad expertise in medical imaging (see description of CMIC), and also in tracking and interpretation of images (e.g. expertise of Julier and Prince who are on the management team). Previously we have supported several EngD projects in this area: e.g. Philips (structure from MRI), Sortex (object detection), Bodymetrics (body measurement from scanning data), where the innovation has been in higher-levels of interpretation of imaging data and derivation of measurements automatically. Two other projects highlight the rapidly developing imaging technology, with high-density sensors and high dynamic range imagery (e.g. BBC and Framestore). We have outline support from several companies for continuing in this area. - Media & Interfaces, covering real-time graphics and interactive interfaces. For example, the use of spatially immersive interfaces, or computer games technology. We have a growing relationship with a number of key games companies (EA, Sony, Eidos, Rebellion), where their concern or interest lies in the management of large sets of assets for complex games software. There is interest in tools for developing imagery (r.g. Arthropics, Geomerics). We also have interest in the online 3D social spaces from IBM and BT. A relatively recent development that we plan to exploit is the combination of real-time tracking, real-time graphics and ubiquitous sensing to create augmented reality systems. Interest has been expressed in this area from Selex and BAe. There is also a growing use of these technologies in the digital heritage area, which we have expertise in and want to expand. - Visualisation & Design, covering the generation and visualisation of computer models in support of decision-making processes. For example, the use of visualisation of geographic models, or generative modelling for architectural design. Great advances have been made in this area recently, with the popularity of online GIS tools such as Google Earth tied in to web services and the acceptance of the role of IT in complex design processes. We would highlight the areas of parameterised geometry (e.g. with Fosters and the ComplexMatters spin-out), studying pedestrian movements (with Buro Happold, Node Architects), visualisation of GIS data (e.g. ThinkLondon, Arup Geotechnical), and medical visualisation.These themes will be supported by broadening the engagement with other centres around UCL, including: the UCL Interaction Centre, the Centre for Medical Image Computing, the Chorley Institute and the Centre for Computational Science.The main value of the centre is that visual engineering requires cross-disciplinary training. This is possible with a normal PhD, but within the centre model inter-disciplinary training can embed the students' focussed research into a larger context. The centre model provides a programme structure and forums to ensure that opportunities and mechanisms for cross-disciplinary working are available. The centre also provides an essential role in providing some core training; though by its nature the programme must incorporate modules of teaching from a wide variety of departments that would otherwise be difficult to justify.

在重建工程署的视觉及影像研究中心时，我们会集中研究三个主题：-视觉及影像，涵盖以电脑为基础的影像判读。例如，实时视频中的对象跟踪，或面部检测和表面外观捕获。UCL现在在医学成像方面拥有广泛的专业知识（见CMIC的描述），并且在图像的跟踪和解释方面也拥有广泛的专业知识（例如管理团队中的Julier和Prince的专业知识）。此前，我们已经支持了该领域的多个EngD项目：例如Philips（来自MRI的结构），Sortex（物体检测），Bodymetrics（来自扫描数据的身体测量），其中的创新在于更高级别的成像数据解释和自动导出测量值。另外两个项目突出了迅速发展的成像技术，具有高密度传感器和高动态范围图像（例如BBC和Framestore）。我们得到了几家公司的支持，继续在这一领域开展工作。- 媒体与界面，涵盖实时图形和交互式界面。例如，使用空间沉浸式界面，或计算机游戏技术。我们与许多主要游戏公司（EA、索尼、Eidos、Rebellion）的关系日益密切，他们的关注或兴趣在于管理复杂游戏软件的大量资产。有兴趣的工具，发展图像（r.g. Arthropics，Geomerics）.我们还对IBM和BT的在线3D社交空间感兴趣。我们计划利用的一个相对较新的发展是实时跟踪，实时图形和无处不在的传感器的组合，以创建增强现实系统。Selex和BAe已表示对这一领域感兴趣。在数字遗产领域，这些技术的使用也越来越多，我们在这方面有专长，并希望扩大。- 可视化与设计，涵盖计算机模型的生成和可视化，以支持决策过程。例如，使用地理模型的可视化，或建筑设计的生成建模。最近在这一领域取得了很大的进展，随着与网络服务相联系的Google Earth等在线地理信息系统工具的普及，以及人们接受信息技术在复杂设计过程中的作用。我们将突出参数化几何的区域（例如，与福斯特和复杂的事情分拆），研究行人运动（与节点建筑师Buro Happold合作），GIS数据可视化（例如ThinkLondon、Arup Geotechnical）和医疗可视化。这些主题将通过扩大与伦敦大学学院周围其他中心的合作来支持，包括：UCL交互中心、医学图像计算中心、乔利研究所和计算科学中心。该中心的主要价值在于视觉工程需要跨学科的培训。这是可能的正常博士学位，但在中心模型跨学科培训可以嵌入学生的重点研究到一个更大的背景。中心模式提供了一个方案结构和论坛，以确保提供跨学科工作的机会和机制。该中心还在提供一些核心培训方面发挥了重要作用;尽管该方案的性质决定了它必须包括来自各种不同部门的教学单元，否则很难证明这一点。