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Path-based constraints for accurate scene reconstruction from aerial video

机译:基于路径的约束,可从航空视频中准确进行场景重建

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This paper discusses the constraints imposed by the path of a moving camera in multi-view sequential scene reconstruction scenarios such as in aerial video, which allow for an efficient detection and correction of inaccuracies in the feature tracking and structure computation processes. The main insight is that for short, planar segments of a continuous camera trajectory, parallax movement corresponding to a viewed scene point should ideally form a scaled and translated version of this trajectory when projected onto a parallel plane. Two inter-camera and intra-camera constraints arise, which create a prediction of where all feature tracks should be located given the consensus information of all accurate tracks and cameras, which allows for the detection and correction of inaccurate feature tracks, as well as a very simple update of scene structure. This procedure differs from classical approaches such as factorization and RANSAC. In both aerial video and turntable sequences, the use of such constraints was proven to correct outlier tracks, detect and correct tracking drift, allow for a simple updating of scene structure, and improve bundle adjustment convergence.
机译:本文讨论了在诸如航空视频等多视图顺序场景重构场景中,移动摄像机的路径所施加的约束条件,这些条件可以有效地检测和纠正特征跟踪和结构计算过程中的不准确之处。主要见解是,对于连续摄像机轨迹的短而平坦的段,当投影到平行平面上时,对应于所查看场景点的视差运动应理想地形成该轨迹的缩放和平移版本。出现两个摄像机间和摄像机内约束,这给所有准确轨迹和摄像机的共识信息提供了一个预测,即所有特征轨迹应位于何处,从而可以检测和校正不正确的特征轨迹,以及非常简单的场景结构更新。此过程不同于经典方法,例如分解和RANSAC。在航空视频和转盘序列中,都证明了使用此类约束条件可以纠正异常轨道,检测和纠正跟踪漂移,简化场景结构更新并改善束调整收敛性。

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