首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >Network Orientation Using the Scaled Orthographic Projection for Parameter Initialization
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Network Orientation Using the Scaled Orthographic Projection for Parameter Initialization

机译:使用可缩放正投影投影进行参数初始化的网络定向

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摘要

Bundle adjustment is a well known and reliable method used in photogrammetry for image network orientation which requires relatively accurate initial approximations of image orientations and point coordinates. The initialization problem has proved difficult and a variety of initialization techniques have been proposed. We present a new method that takes advantage of the scaled orthographic projection to compute direct linear solutions that approximate the image network geometry. The algorithm includes two relative orientation methods adapted from previous work, and in a recently developed orthographic bundle adjustment method. Following initial network orientation, image coordinates are corrected for perspective to obtain an intermediate solution which is converted into perspective projection parameters and a final bundle adjustment is performed. The method has been tested using several image sets and has proven to be effective at various fields of view, with a variety of imaging network geometries, and with different object point geometries.
机译:束调整是在摄影测量中用于图像网络方向的众所周知的可靠方法,该方法需要图像方向和点坐标的相对准确的初始近似值。已经证明初始化问​​题很困难,并且已经提出了各种初始化技术。我们提出了一种新方法,利用比例投影投影法来计算近似图像网络几何形状的直接线性解。该算法包括从以前的工作改编的两种相对方向方法,以及最近开发的正交束调整方法。遵循初始网络方向后,将校正图像坐标的透视图,以获得将其转换为透视图投影参数的中间解,并执行最终的束调整。该方法已使用多个图像集进行了测试,并已证明在各种视场,各种成像网络几何形状以及不同物点几何形状下都是有效的。

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