摘要
取向估计的主要目的是计算出图像等多维信号各点的取向信息,在图像处理和机器视觉的底层处理中具有广泛的应用.在总结现有基于张量的取向估计方法的基础上,文中提出了基于张量的取向估计方法的理论框架,并从取向张量的构造这一核心问题入手证明各种基于张量的取向估计方法都可以统一到这一理论框架之下,从而有利于对这类方法进行深入研究或设计更准确的取向估计方法.
Orientation estimation aims to compute the orientation angles of multi-dimensional signals and can be applied to many basic tasks in image processing and computer vision. This paper gives a short review of three methods for estimating local orientation tensors. The signal models being used are rather different, but they produce similar result which motivates the existence of a common computation framework for estimating orientation tensors. Such a framework is proposed and proved by investigating the key problem of how to construct the orientation tensors to facilitate further research work and design more accurate orientation estimation methods.
出处
《计算机学报》
EI
CSCD
北大核心
2011年第9期1726-1731,共6页
Chinese Journal of Computers
基金
山东省博士基金(2009BSB02003)资助~~
关键词
取向
取向估计
取向张量
orientation
orientation estimation
orientation tensors
