Workshop/Tutorial/Competition: Computational Symmetry in Computer Vision

Project: Research project

Project Details

Description

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.

StatusFinished
Effective start/end date6/15/105/31/12

Funding

  • National Science Foundation: $28,517.00

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.