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New Error Measures to Evaluate Features on Three-Dimensional Scenes

机译:在三维场景中评估功能的新错误措施

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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,提出了新的错误,以评估3D场景中的图像功能的措施。拟议的错误措施旨在考虑要素形状,并且可以容易地估计地面真实数据。作为其他方法,它们不是无差错,根据错误匹配和不匹配的数量给出定量评估,以评估其有效性。

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