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Tutorial: Dealing with rotation matrices and translation vectors in image-based applications: A common reference system for cameras

机译:教程:处理基于图像的应用中的旋转矩阵和翻译向量:相机的公共参考系统

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This tutorial follows and completes a previous work concerning how to solve the factors of ambiguity intrinsic in the definition of rotation matrices, to describe the relative orientation of one or more cameras acquiring images from different points of view. The two works, jointly, aim to provide an error-avoiding methodology to describe the whole relative acquisition geometry (pose). This is a crucial task for those aerospace applications based on the use of imaging devices, like flying objects detection and tracking, automatic guidance, tridimensional reconstruction, images georegistration, and change detection. To describe the pose, not only the orientation but also the relative shift should be taken into account. This can be conveniently modeled through a translation vector. Using it together with a rotation matrix it is possible to achieve the goal, but it is also prone to ambiguity. In this contribution, the main factors that result in such ambiguity are addressed. Through a detailed analysis, it is shown how to solve them, in order to manage the interaction between translation vectors and rotation matrices properly. This avoids the errors that frequently occur in practical applications, whenever it is required to find the transformation that makes the reference system of a camera coincident with the reference system of another, or to switch from the expression of the coordinates of a point of the scene in the reference system of a camera to its expression in the reference system of another. One of the reasons why errors are likely to be made in describing the pose is the lack of a commonly adopted choice for the camera reference system. To obviate this lack, the manuscript also presents a recommended definition for it. For the sake of completeness, the definition includes a second reference system for identifying points on the camera sensor plane, in order to permit describing also the projective transformation operated by the camera during the image formation process.
机译:本教程遵循并完成关于如何解决旋转矩阵定义中的模糊内在的因素的先前工作,以描述来自不同视图的一个或多个摄像机的相对取向。两者合作,旨在提供错误的方法来描述整个相对采集几何形状(姿势)。这对于这些航空航天应用的基于使用成像装置,如飞行物体检测和跟踪,自动引导,三维重建,图像地理学和改变检测,这是对这些航空航天应用的重要任务。为了描述姿势,不仅应该考虑到方向,而且应该考虑相对偏移。这可以通过翻译矢量方便地建模。将它与旋转矩阵一起使用,可以实现目标,但也可以易于模糊。在这一贡献中,解决了这种歧义的主要因素是解决的。通过详细的分析,示出了如何解决它们,以便正确地管理平移向量与旋转矩阵之间的交互。这避免了在实际应用中经常发生的错误,只要需要找到使得与另一个参考系统相一致的摄像机的参考系统的转换,或从场景点的坐标的表达式切换在相机的参考系统中,在另一个参考系统中的表达式。在描述姿势时可能做出错误的原因之一是缺乏相机参考系统的常用选择。为了避免这种缺乏,手稿还为此提出了推荐的定义。为了完整起见,该定义包括用于识别相机传感器平面上的点的第二参考系统,以便允许在图像形成过程中描述由相机操作的投影变换。

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