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、动物和昆虫都具有感知和利用对称性的先天能力，对称性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规模呈现。虽然我们对重复模式的理解被对称性和群论的数学概念所概括，但对称性的感知和识别在机器智能和计算机视觉中尚未得到充分的探索，而且今天几乎没有有效的计算方法。为了响应视觉界对计算对称性的兴趣，这个及时而独特的研讨会/教程/比赛被组织来研究这个潜在的强大的中级工具。这次活动有三个主要部分：（1）由一群来自世界各地的杰出演讲者提出关于对称性的重要性和持久影响的多学科观点;（2）详细总结了数学理论、最先进的算法和各种应用（成功与失败）;以及（3）对称检测算法竞赛的算法和结果，由基准对称检测算法竞赛的前三名选手介绍。计算机视觉研究人员积极参与，特别是研究生，在这次活动中，预计将导致所有参与者对对称性的广泛理解和欣赏，以及对他们的研究和计算对称工具的使用产生深刻而持久的影响。在讲习班之前建立了一个网站，介绍讲习班/教程的内容、竞赛过程和最后结果，并在讲习班之后扩大了网站，供公众访问。