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Camera Pose Estimation Using Frequency Analysis

机译:基于频率分析的摄像机姿态估计

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摘要

Camera pose estimation from image is one of the key issues in computer vision. Most existing approaches need embed a visual mark in the object's texture for camera pose estimation. However, a visual mark spoils the unity of the image. This paper introduces a novel pose estimation method using the spatial frequency domain analysis. In this method, the high frequency marker that is hard to distinguish is embedded in the image for pose estimation. We observe the spatial frequency change of the high frequency marker and infer the posture change of camera. The result shows that this method is feasible and flexible.
机译:根据图像估计相机姿态是计算机视觉中的关键问题之一。大多数现有方法都需要在对象的纹理中嵌入视觉标记,以进行相机姿态估计。但是,视觉标记会破坏图像的统一性。本文介绍了一种使用空间频域分析的姿态估计新方法。在该方法中,将难以区分的高频标记嵌入到图像中以进行姿势估计。我们观察高频标记的空间频率变化并推断相机的姿势变化。结果表明,该方法可行,灵活。

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