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Experiences with automatic relative orientation

机译:自动相对取向的经验

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A report on recent experiences with a new procedure for automatic relative orientation is given. A hierarchical approach provides conjugate points using image pyramids. The implemented method is based on feature extraction by an interest operator, feature matching between the two images, area-based image correlation, a robust least squares bundle adjustment and feature tracking through several levels of the image pyramid. The automatic procedure proved to be successful for various combinations of terrain relief, surface cover, and image scale. The paper presents the results of intensive tests. It was found that only a limited number of control parameters of the algorithm have to be individually adjusted to the terrain specifics. Further investigations need to be conducted to find out whether the project- dependent parameters can be reliably predicted for certain classes of images.
机译:给出了关于最近对自动相对取向的新程序进行的报告。分层方法使用图像金字塔提供共轭点。实现的方法基于感兴趣的操作员特征提取,在两个图像,基于区域的图像相关,鲁棒最小二乘束调整和通过几个级别的图像金字塔的特征跟踪之间的特征匹配。事实证明,自动程序成功地为地形浮雕,表面覆盖和图像规模的各种组合。本文提出了密集检测结果。发现只有有限数量的算法控制参数必须单独调整到地形细节。需要进行进一步的调查,以确定某些类图像是否可以可靠地预测项目依赖参数。

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