首页> 外文会议>Asian Conference on Computer Vision >On accuracy of 3D localization obtained by aligning 3D model with observed 2D occluding edges
【24h】

On accuracy of 3D localization obtained by aligning 3D model with observed 2D occluding edges

机译:用观察到的2D封闭边缘对准3D模型获得的3D定位精度

获取原文

摘要

In this paper accuracy of the 3D localization obtained by aligning a 3D model with 2D observed occluding edges is discussed on. Aiming at accurate localization of a robot in a nuclear power plant, a method for aligning a 3D environmental model with an image observed by a camera mounted on the robot was proposed [1]. By effectively using the two-type predicted views which are calculated by a graphics system (e.g. OpenGL etc), the method succeeded in robust alignment even though the scene consists of complicated occluding edges of pipes. However accuracy of the 3D localization obtained by the alignment has not been yet enough examined. In this paper some factors affecting the error in the 3D localization are investigated. The experimental results using both synthetic and actual data make it clear that the error in the focal length of the camera model causes relatively large translation error in the view direction. For the case the camera parameter is not known precisely, we propose to utilize two cameras to decrease the errors and show its effect.
机译:本文讨论了通过对准与2D观察到的封闭边缘来实现的3D定位的准确性。针对核电厂中机器人的精确定位,提出了一种用安装在机器人上观察到的图像对准3D环境模型的方法[1]。通过有效地使用由图形系统(例如OpenGL等)计算的双型预测视图,即使场景包括管道的复杂遮挡边缘,该方法也成功地成功了鲁棒对准。然而,通过对齐获得的3D定位的准确性尚未得到足够的检查。在本文中,研究了影响3D本地化错误的一些因素。使用合成和实际数据的实验结果明确表示相机模型的焦距中的误差会导致视图方向上的相对较大的平移错误。对于案例,相机参数尚未完全已知,我们建议使用两个相机来减少错误并显示其效果。

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