文章基本信息

标题：Accuracy Enhancement of Vision Metrology Through Automatic Target Plane Determination
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作者：J.O. Otepka ; C.S. Fraser
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B5
页码：873-879
出版社：Copernicus Publications
摘要：In digital close-range photogrammetry, commonly referred to as vision metrology, circular targets are often used for high precision applications. The most common target type used consists of retro-reflective material, which provides a high contrast image with flash photography. The measurement of image coordinates of signalised targets continues to be a factor limiting the achievable accuracy of high-precision vision metrology systems. Mathematical algorithms are used to determine the centres of imaged targets in 2D space. These 2D centroids are then used in a triangulation process to calculate the target position in 3D space. This computational process assumes that the targets represent perfect 'points' in space. However, in practice target-thickness and target-diameter can adversely effect this assumption, leading to the introduction of systematic errors and to incorrect calculation of 3D position. The paper presents the development of a target plane determination process, which will serve to automatically correct for these errors. This will also lead to high accuracies within the bundle adjustment via an improved mathematical model
关键词：Vision Metrology; Targets; Surface; Automation; Algorithms; Precision; Close Range Photogrammetry