Workshop/Tutorial/Competition: Computational Symmetry in Computer Vision

研讨会/教程/竞赛：计算机视觉中的计算对称性

• 批准号: 1040711
• 负责人: Yanxi Liu
• 金额: $ 2.85万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-15 至 2012-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1040711&HistoricalAwards=false
• 关键词: Workshop; Tutorial; Competition; Computational; Symmetry

Humans, animals and insects have an innate ability to perceive and take advantage of symmetry, which is a pervasive phenomenon presenting itself in all forms and scales in natural and man-made environments. Although our understanding of repeated patterns is generalized by the mathematical concept of symmetries and group theory, perception and recognition of symmetry has yet to be fully explored in machine intelligence and computer vision, and few effective computational methods are available today. In response to a resurging interest in computational symmetry with the vision community, this timely and unique workshop/tutorial/competition is organized to investigate this potentially powerful intermediate level tool.The event has three main parts:(1) a multidisciplinary perspective on the importance and lasting impact of symmetry, presented by a worldwide group of distinguished speakers;(2) a detailed summary of the mathematical theory, state of the art algorithms and a diverse set of applications (successes and failures); and(3) the algorithms and the outcome of the symmetry detection competition, presented by the top three performers on the benchmarked symmetry detection algorithm competition.Active participations by computer vision researchers, especially graduate students, in this event are expected, leading to broadened understanding and appreciation of symmetry in all participants, as well as an acute and lasting impact to their research and their use of computational symmetry tools. A website with the content of the workshop/tutorial, the competition process and final results is set up before and augmented after the workshop, for public access.

人类，动物和昆虫具有天生的感知和利用对称性的能力，这是一种普遍存在的现象，在自然和人造环境中以各种形式和尺度表现出来。尽管我们对重复模式的理解是通过对称性和群体理论的数学概念推广的，但是在机器智能和计算机视觉中尚未对对称性的感知和识别进行全面探索，而如今几乎没有有效的计算方法。为了回应与视觉社区对计算对称性的重新兴趣，组织了这个及时，独特的研讨会/教程/竞争，以调查这种潜在的有力强大的中间级工具。该事件具有三个主要部分：（1）对对称的重要性和持久影响的多学科观点，是由一组杰出的演讲者提出的，是一组杰出的演讲者（2）详细介绍；以及各种应用程序（成功和失败）； （3）算法和对称探测竞赛的结果，由基准的对称检测算法竞争中的前三名表演者提出。计算机视觉研究人员（尤其是研究生）在此事件中参与了激烈的参与，导致对所有参与者的对称性和持久的效果和持续的效果的对称性和良好的对称性，并构成了他们的精神和效果，并构成了他们的效果。一个带有研讨会/教程内容的网站，竞争过程和最终结果是在研讨会之后进行的，并在研讨会之后进行了增强，以供公众访问。