Accuracy estimation of images registration method

Accuracy estimation of image registration is important for image fusion, computer vision and so on image processing tasks. It is a substantial part of image registration process. Without quantitative accuracy estimation, no registration algorithm can be applied pragmatically. In this paper, the para...

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Hauptverfasser: Bingjian Wang, Hongbin Lou, Hanlin Qin, Huixin Zhou, Rui Lai
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:Accuracy estimation of image registration is important for image fusion, computer vision and so on image processing tasks. It is a substantial part of image registration process. Without quantitative accuracy estimation, no registration algorithm can be applied pragmatically. In this paper, the parameters to measure accuracy of image registration and their characteristics are introduced systematically. And Cross Validation is used to estimate the parameters of measuring accuracy of image registration. And it is used to evaluate accuracy of SIFT algorithm and manual image registration algorithm. The experimental results show the effectiveness of Cross Validation method.
DOI:10.1109/CISP.2012.6469764