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使用因子图进行分组:使用相机电话查找文本的方法

Grouping Using Factor Graphs: an Approach for Finding Text with a Camera Phone
课程网址: http://videolectures.net/gbr07_shen_gufg/  
主讲教师: Huiying Shen
开课单位: 史密斯·凯特威尔眼科研究所
开课时间: 2007-07-12
课程语种: 英语
中文简介:
我们引入了一个基于因子图的特征分组的新框架,它是对任意数量的随机变量之间的交互进行编码的图形模型。因子图表达高于成对顺序的交互的能力(在计算机视觉中使用的大多数图形模型中遇到的最高顺序)对于模拟各种模式识别问题是有用的。特别是,我们展示了这个属性如何使因子图形成为执行分组和分割的自然框架,我们将其应用于在自然场景中查找文本的问题。我们演示了基于因子图的算法的实现,该算法用于在诺基亚相机手机上查找文本,该算法旨在最终用于相机电话系统,该系统在盲人用户的自然环境中查找和读取文本(例如街道标志)。
课程简介: We introduce a new framework for feature grouping based on factor graphs, which are graphical models that encode interactions among arbitrary numbers of random variables. The ability of factor graphs to express interactions higher than pairwise order (the highest order encountered in most graphical models used in computer vision) is useful for modeling a variety of pattern recognition problems. In particular, we show how this property makes factor graphs a natural framework for performing grouping and segmentation, which we apply to the problem of finding text in natural scenes. We demonstrate an implementation of our factor graph-based algorithm for finding text on a Nokia camera phone, which is intended for eventual use in a camera phone system that finds and reads text (such as street signs) in natural environments for blind users.
关 键 词: 因子图; 随机变量; 算法
课程来源: 视频讲座网
最后编审: 2019-04-15:cwx
阅读次数: 42