Estimating Camera Position and Posture by Using Feature Landmark Database
Estimating Camera Position and Posture by Using Feature Landmark Database
复制标题
使用特征地标数据库估计相机位置和姿态
DOI：
10.1007/11499145_19
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
N. Yokoya
中科院分区：
文献类型：
--
作者：
Motoko Oe;Tomokazu Sato;N. Yokoya
估计摄像机的位置和姿态可以应用于增强现实和机器人导航领域。在这些领域，为了获得相机的绝对位置和姿态，人们研究了使用GPS和磁传感器的基于传感器的方法以及使用来自相机的输入图像的基于视觉的方法。然而，基于传感器的方法很难准确地同步相机和传感器，并且根据传感器的选择，可用的环境受到限制。另一方面，基于视觉的方法需要分配许多人工标记，否则估计误差将累积。因此，很难在大的自然环境中使用这种方法。本文提出了一种基于视觉的大环境下摄像机位姿估计方法，该方法通过从预先拍摄的图像序列中检测自然特征点并将其作为地标，不需要传感器和人工标记。
Estimating camera position and posture can be applied to the fields of augmented reality and robot navigation. In these fields, to obtain absolute position and posture of the camera, sensor-based methods using GPS and magnetic sensors and vision-based methods using input images from the camera have been investigated. However, sensor-based methods are difficult to synchronize the camera and sensors accurately, and usable environments are limited according to selection of sensors. On the other hand, vision-based methods need to allocate many artificial markers otherwise an estimation error will accumulate. Thus, it is difficult to use such methods in large and natural environments. This paper proposes a vision-based camera position and posture estimation method for large environments, which does not require sensors and artificial markers by detecting natural feature points from image sequences taken beforehand and using them as landmarks.
DOI：
10.1007/978-3-540-24671-8_26
发表时间：
2004-05
期刊：
--
影响因子：
--
作者：
Tomokazu Sato;Sei Ikeda;N. Yokoya
通讯作者：
Tomokazu Sato;Sei Ikeda;N. Yokoya
影响因子：
19.5
作者：
TOMASI, C;KANADE, T
通讯作者：
KANADE, T