Industrial Doctorate Centre: Virtual Environments, Imaging and Visualisation

在重建EngD VEIV中心时，我们将重点关注该领域的三个主题：-视觉与成像，涵盖以计算机为基础的图像解释领域。例如，实时视频中的目标跟踪，或人脸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(参见对CMIC的描述)，也在图像跟踪和解释方面拥有丰富的专业知识(例如，管理团队中的Julier和Prince的专业知识)。此前，我们在这一领域支持了多个EngD项目：例如飞利浦(MRI结构)、Sortex(物体检测)、Bodymetrics(根据扫描数据进行人体测量)，这些项目的创新之处在于更高级别的成像数据解释和测量结果的自动推导。另外两个项目突出了快速发展的成像技术，具有高密度传感器和高动态范围图像(例如BBC和Framestore)。我们已经得到了几家公司对继续在这一领域的支持。-媒体和界面，包括实时图形和交互界面。例如，空间沉浸式界面的使用，或计算机游戏技术。我们与许多主要游戏公司(EA、索尼、Eidos、Rebelion)的关系日益密切，他们关心或感兴趣的是管理复杂游戏软件的大量资产。人们对开发图像的工具感兴趣(R.G.)竞技场、竞技场)。我们也对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，将实时跟踪、实时图形和无处不在的传感相结合，以创建增强现实系统。SELEX和BAE已经表达了对这一领域的兴趣。这些技术在数字遗产领域的使用也越来越多，我们在这方面拥有专业知识，并希望扩大这一领域。-可视化与设计，包括计算机模型的生成和可视化，以支持决策过程。例如，使用可视化的地理模型，或用于建筑设计的生成性建模。最近在这一领域取得了很大进展，诸如Google Earth等在线地理信息系统工具与网络服务捆绑在一起，并接受了信息技术在复杂设计过程中的作用。我们将重点介绍参数化几何(例如，利用Foster和ComplexMatters衍生产品)、研究行人运动(利用Buro Happold、Node Architects)、地理信息系统数据可视化(例如ThinkLondon、奥雅纳岩土技术)和医学可视化的领域。这些主题将通过扩大与伦敦大学学院周围其他中心的接触来支持这些主题，包括：伦敦大学学院互动中心、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。对于普通的博士学位来说，这是可能的，但在中心模式下，跨学科培训可以将学生的重点研究嵌入到更大的背景中。该中心模式提供了一个方案结构和论坛，以确保有机会和机制开展跨学科工作。该中心还在提供一些核心培训方面发挥了重要作用；尽管从性质上讲，该方案必须包括各种不同部门的教学模块，否则很难证明这些模块是合理的。

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.