Frontiers of Vision: A collaborative workshop on Computer Vision and its role in application with broad societal impact

视觉前沿：关于计算机视觉及其在具有广泛社会影响的应用中的作用的协作研讨会

• 批准号: 0513521
• 负责人: Stefano Soatto
• 金额: $ 1万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-15 至 2006-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0513521&HistoricalAwards=false
• 关键词: Frontiers; Vision; collaborative; workshop; Computer

AbstractIIS-0513521Soatto, StefanoUniversity of California-Los AngelesFrontiers of Vision: A collaborative workshop on Computer Vision and its role in application with broad societal impactComputer Vision is a relatively young but rapidly evolving field. The academic community is growing rapidly, as measured for instance by the number of submissions to the Computer Vision and Pattern Recognition conferences, which more than tripled since 1998 (submission was 453 in 1998, 466 in 2000, 920 in 2001, 1100 in 2003, 1300 in 2004, and 1500 in 2005). Such a growth is partly fueled by an increased demand for the use of vision in security and monitoring applications, medical imaging, robotics, persistent ISR, etc. A key stepping-stone was also achieved in the mid nineties with the availability of commercial off-the-shelf hardware to acquire and process imaging data in real time, thus enabling an entire new host of applications where vision is to be used as a sensor in the loop of real-time control applications. Vision is coming to play a key role in problems of broad societal and scientific impact from transportation to space, to entertainment, to environmental monitoring, to medicine, and to security. The increasing role that vision plays in applications is also documented by the increased investment by large industrial groups in vision research, from Microsoft to Siemens, General Electric, Mitsubishi, Honda etc.Despite such a booming trend, the academic and research community remains heavily fragmented. Researchers come to vision from different backgrounds (mathematics, physics, engineering, computer science, neuroscience) and speak different technical languages (from graph theory to partial differential equations to information theory to dynamical systems and control theory). The community is also heavily segmented into sub-areas with few successful attempts to vertically integrate different approaches. Unlike other disciplines that have a common set of analytical tools and speak a unified language or that have a common set of benchmark tasks, Computer Vision remains a collection of separate approaches to separate problems, with no unifying theory, or even rational comparison between different approaches or common experimental benchmarks. The goal of this workshop is to provide a venue for leading researchers to share their views on the future directions in Computer Vision, draw connections from different areas, and propose ways to help improve the impact of the community in applications that have broad societal consequences.

摘要IIS-0513521Soatto，加州大学洛杉矶分校视觉前沿：一个关于计算机视觉及其在应用中的作用的协作研讨会，具有广泛的社会影响计算机视觉是一个相对年轻但发展迅速的领域。学术界正在迅速增长，例如，提交给计算机视觉和模式识别会议的论文数量自1998年以来增加了两倍多(1998年453篇，2000年466篇，2001年920篇，2003年1100篇，2004年1300篇，2005年1500篇)。这种增长在一定程度上是由于对视觉在安全和监控应用、医疗成像、机器人、永久性ISR等方面的使用需求的增加。90年代中期，随着商用现成硬件的可用来实时获取和处理成像数据，也实现了一个关键的踏脚石，从而使视觉能够作为实时控制应用循环中的传感器使用的全新应用主机。视觉在广泛的社会和科学影响问题上发挥着关键作用，从交通到太空，到娱乐，到环境监测，到医学，到安全。从微软到西门子、通用电气、三菱、本田等大型工业集团在视觉研究上的投资增加，也证明了VISION在应用程序中发挥的越来越大的作用。尽管有这种蓬勃发展的趋势，但学术界和研究界仍然严重分散。研究人员来自不同的背景(数学、物理、工程、计算机科学、神经科学)，会说不同的技术语言(从图论到偏微分方程，从信息论到动力系统和控制论)。社区也被严重划分为子区域，很少有成功的尝试垂直整合不同的方法。与其他学科不同，计算机视觉拥有一套共同的分析工具，说一种统一的语言，或者有一套共同的基准任务，计算机视觉仍然是一组单独的方法来分离问题，没有统一的理论，甚至不同方法或共同的实验基准之间的合理比较。这个研讨会的目标是为领先的研究人员提供一个场所，分享他们对计算机视觉未来方向的看法，从不同的领域建立联系，并提出方法来帮助改善社区在具有广泛社会后果的应用程序中的影响。