多影像空三平差辅助下的车载全景相机严密标定方法

发布时间：2018-01-24 19:18

本文关键词： 车载移动测量系统全景相机旋转摄影光束法空三平差相机标定　出处：《测绘通报》2017年07期 　论文类型：期刊论文

【摘要】：针对目前全景相机标定方法的研究现状,提出了一种多影像光束法空三平差辅助下的全景相机内参数严密标定方法。首先建立全景相机标定场,对组成全景相机的每台单相机的内参数进行标定;然后按照预先设计好的摄影参数,旋转摄影获取全景相机在标定场中多个不同摄影方向的影像,利用其中一个摄站的标定影像和物方控制点通过空间后方交会的方法解算单相机之间的初始相对方位元素,即粗标定;最后将所有摄站的标定影像构建区域网并进行光束法空三平差,获取精确的全景相机参数,即严密标定。试验表明,文中提出的全景相机标定方法可以提高标定结果的精度和可靠性,为全景影像的拼接、量测及真彩点云的生成等后续研究和应用奠定可靠的基础。
[Abstract]:According to the present research situation of the panoramic camera calibration method, this paper presents a precise calibration method of the inner parameters of the panoramic camera assisted by the multi-image beam normal adjustment. Firstly, the calibration field of the panoramic camera is established. The inner parameters of each single camera are calibrated. Then, according to the pre-designed photography parameters, rotation photography is used to obtain the panoramic camera images in different camera directions in the calibration field. The initial relative azimuth element between a single camera is calculated by using the calibration image of one of the cameras and the object control points through the space rear intersection, that is, rough calibration. Finally, the calibration images of all the stations are constructed into a regional network and the beams are adjusted to obtain accurate panoramic camera parameters, I. e., strict calibration. The experimental results show that. The proposed calibration method of panoramic camera can improve the accuracy and reliability of the calibration results, and lay a reliable foundation for the subsequent research and application of panoramic image mosaic, measurement and the generation of true color point clouds.
【作者单位】：山东科技大学测绘科学与工程学院;
【基金】：国家自然科学基金(41271451;41371425) 山东省优秀中青年科学家科研奖励基金(BS2012DX033)
【分类号】：P235
【正文快照】： 常见的单面阵数码相机影像存在视场角窄、像幅小等常见问题,而全景影像则具有超大视场角、超强立体感和真实感、旋转不变性及成像一体化等显著特点[1-3],可以使人们更加直观、快捷、全面地建立对周围环境的整体认识。全景影像技术目前已被广泛应用到街景地图制作、测绘、旅游

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