Abstract
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.
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