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New Error Measures to Evaluate Features on Three-Dimensional Scenes

机译:用于评估三维场景特征的新错误度量

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摘要

In this paper new error measures to evaluate image features in 3D scenes are proposed and reviewed. The proposed error measures are designed to take into account feature shapes, and ground truth data can be easily estimated. As other approaches, they are not error-free and a quantitative evaluation is given according to the number of wrong matches and mismatches in order to assess their validity.
机译:在本文中,提出并评估了用于评估3D场景中图像特征的新错误度量。设计拟议的误差措施时要考虑到特征形状,并且可以很容易地估算出地面真实数据。与其他方法一样,它们也不是没有错误,并且根据错误匹配和不匹配的数量进行了定量评估,以评估其有效性。

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