Estimation of the orientation and distance of a mirror from Kinect depth data

Tanwi Mallick, P. Das, A. Majumdar
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引用次数: 3

Abstract

In many common applications of Microsoft Kinect™ including navigation, surveillance, 3D reconstruction, and the like; it is required to estimate the geometry of mirrors or other reflecting surfaces existing in the field of view. This often is difficult as in most positions a mirror does not support diffuse reflection of speckles and hence cannot be seen in the Kinect depth map. A mirror shows up as unknown depth. However, suitably placed objects reflecting in the mirror can provide important clues for the orientation and distance of the mirror. In this paper we present a method using a ball and its mirror image to set-up point-to-point correspondence between object and image points to solve for the geometry of the mirror. With this simple estimators are designed for the orientation and distance of a plane vertical mirror with respect to the Kinect camera. In addition an estimator is presented for the diameter of the ball. The estimators are validated through a set of experiments.
根据Kinect深度数据估计镜子的方向和距离
在微软Kinect™的许多常见应用中,包括导航、监视、3D重建等;需要估计视场中存在的镜子或其他反射面的几何形状。这通常很困难,因为在大多数位置,镜子不支持斑点的漫反射,因此无法在Kinect深度图中看到。镜子显示为未知的深度。然而,适当放置反射到镜子中的物体可以为镜子的方向和距离提供重要线索。本文提出了一种利用球及其镜像建立物体点与镜像点之间点对点对应关系的方法,以求解镜像的几何形状。有了这个简单的估计器,我们设计了平面垂直镜相对于Kinect摄像头的方向和距离。此外,给出了球直径的估计量。通过一组实验验证了估计器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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