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Simultaneous camera pose and correspondence estimation in cornerless images

机译:无角图像中的相机同时姿势和对应估计

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We propose an algorithm which can jointly estimate camera pose and point set registration. Given point sets from two views of a stationary scene, our algorithm registers the point sets while retaining internal scene structure. It simultaneously ensures that the resultant registration is consistent with that of a moving camera viewing a static scene (adheres to some epipolar constraint). Our statistical formulation can incorporate but does not necessarily require additional constraints such as brightness constancy and high dimensional point descriptors such as SIFT. We show that our algorithm is stable over a variety of scenes and offers a pose from edge system which handles currently difficult structure from motion scenes more robustly.
机译:我们提出了一种可以共同估计摄像机姿态和点集配准的算法。从固定场景的两个视图给定点集,我们的算法在保留内部场景结构的同时注册点集。同时确保所产生的配准与观看静态场景的移动摄像机的配准一致(遵守某些极线约束)。我们的统计公式可以包含但不一定要求其他约束,例如亮度恒定性和高维点描述符(例如SIFT)。我们证明了我们的算法在各种场景下都是稳定的,并提供了来自边缘系统的姿势,该姿势可以更可靠地处理运动场景中的当前困难结构。

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