线性多视图重建点,线,平面和相机使用参考平面

C. Rother
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引用次数: 36

摘要

本文提出了一种新的线性方法,通过求解单个线性系统,从多个角度同时重建三维特征(点、线、面)和摄像机。它假设在所有视图中都可见真实或虚拟参考平面。我们称之为直接参考平面(DRP)方法。众所周知,在没有参考平面的情况下,未标定相机与三维特征之间的投影关系是非线性的。Rother和Carlsson(2001)表明,在已知参考平面的情况下,点和相机之间存在线性关系。本文的主要贡献在于线与相机,以及平面与相机也具有线性关系。因此,所有的3D特征和所有的相机可以从一个单一的线性系统同时重建,它处理缺失的图像测量自然。进一步的贡献是使用实际数据对不同参考平面和非参考平面重建方法进行了广泛的实验比较。对于具有点或线特征的复杂参考平面场景,DRP方法优于所有比较方法。最后,给出了一个广泛的参考平面场景列表,显示了DRP方法的广泛适用性。
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Linear multiview reconstruction of points, lines, planes and cameras using a reference plane
This paper presents a new linear method for reconstructing simultaneously 3D features (points, lines and planes) and cameras from many perspective views by solving a single linear system. It assumes that a real or virtual reference plane is visible in all views. We call it the Direct Reference Plane (DRP) method. It is well known that the projection relationship between uncalibrated cameras and 3D features is nonlinear in the absence of a reference plane. With a known reference plane, points and cameras have a linear relationship, as shown by Rother and Carlsson (2001). The main contribution of this paper is that lines and cameras, as well as, planes and cameras also have a linear relationship. Consequently, all 3D features and all cameras can be reconstructed simultaneously from a single linear system, which handles missing image measurements naturally. A further contribution is an extensive experimental comparison, using real data, of different reference plane and nonreference plane reconstruction methods. For difficult reference plane scenarios, with point or line features, the DRP method is superior to all compared methods. Finally, an extensive list of reference plane scenarios is presented, which shows the wide applicability of the DRP method.
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