首页> 外文期刊>IEEE Aerospace and Electronic Systems Magazine >Tutorial: Dealing with rotation matrices and translation vectors in image-based applications: A common reference system for cameras
【24h】

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

机译:教程:在基于图像的应用程序中处理旋转矩阵和平移矢量:相机的通用参考系统

获取原文
获取原文并翻译 | 示例
           

摘要

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:本教程将遵循并完成先前的工作,涉及如何解决旋转矩阵定义中固有的歧义因素,以描述一个或多个从不同角度获取图像的摄像机的相对方向。两项工作共同致力于提供一种避免错误的方法来描述整个相对采集几何结构(姿势)。对于那些基于成像设备的航空航天应用而言,这是一项至关重要的任务,例如飞行物体的检测和跟踪,自动导航,三维重建,图像地理配准和变化检测。在描述姿势时,不仅要考虑方位,还要考虑相对位移。可以通过翻译向量方便地对其进行建模。将其与旋转矩阵一起使用可以实现该目标,但也容易产生歧义。在此贡献中,解决了导致这种歧义的主要因素。通过详细的分析,显示了如何解决它们,以便正确管理平移向量和旋转矩阵之间的相互作用。这样避免了在实际应用中经常发生的错误,无论何时需要查找使摄像机的参考系统与另一个参考系统重合的变换,或者从场景点的坐标表达切换到其他位置,都可以避免这种错误。在摄像机的参考系统中,将其表达在另一个参考系统中。为什么在描述姿势时可能会出错的原因之一是缺少相机参考系统的常用选择。为了消除这种不足,手稿还提出了建议的定义。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,以便允许还描述相机在图像形成过程中所进行的投影变换。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号