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An Improved Colored-Marker Based Registration Method for AR Applications

机译:一种用于AR应用的改进的基于彩色标记的注册方法

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摘要

Registration is crucial in an Augmented Reality (AR) system for it determines the performance of alignment between virtual objects and real scene. Colored-makers with known world coordinates are usually put in the target scene beforehand to help get a real-time, precise registration because they can provide explicit 3D/2D correspondences and four such correspondences can produce adequate and accurate equations of the pose matrix if the camera's intrinsic matrix has already been calibrated, and then registration can be achieved by solving these equations. However, usually only limited number of (e.g. two or three) markers out of four can be captured and this will make the colored-marker based method fail. In order to overcome such shortcomings an improved colored-marker based registration method is proposed in this paper which works when the target scene is a plane. The proposed method integrates both 3D/2D and 2D/2D information by updating the cost function used in the optimization step of RANSAC, and thus combines the virtues of homography based method. Experimental result shows that the proposed method can provide acceptable pose estimation and its potential to be applied in actual AR systems.
机译:在增强现实(AR)系统中,配准至关重要,因为配准决定了虚拟对象与真实场景之间对齐的性能。通常将具有已知世界坐标的着色器预先放置在目标场景中,以帮助获得实时,精确的配准,因为它们可以提供显式的3D / 2D对应关系,并且如果这样的四个对应关系可以生成姿势矩阵的适当且精确的方程式,相机的固有矩阵已经被校准,然后可以通过求解这些方程来实现配准。但是,通常只能捕获四个中有限数量的(例如两个或三个)标记,这会使基于彩色标记的方法失败。为了克服这些缺点,本文提出了一种改进的基于彩色标记的配准方法,该方法在目标场景为平面时有效。所提出的方法通过更新在RANSAC的优化步骤中使用的成本函数来整合3D / 2D和2D / 2D信息,从而结合了基于单应性的方法的优点。实验结果表明,所提出的方法可以提供可接受的姿态估计及其在实际AR系统中的应用潜力。

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