Abstract: A digital photogrammetric system for automated 3D coordinate measurement in a production environment has been developed. For the image acquisition the Kodak DCS200 digital camera is used. This camera is based on a standard 35-mm camera. The results of the radiometric and geometric calibration of the DCS200 camera show the potential of this camera for photogrammetric applications. The software part of the system performs the detection, identification, and measurement of artificial targets present in digital images. These artificial targets are designed for automatic detection in images of a complex scene. For the identification of the targets a circular bar code is read by the image processing software. The least squares template matching method is implemented for the target image measurement. A precision better than 2% of a pixel was obtained for the target location. The 3D coordinate computation is performed by Geodelta's bundle adjustment package BINAER. It includes extensive statistical testing to assess the accuracy of the results. Tests with the DCS200 camera show a repeatability of 18 micrometer standard deviation on a test field 60 $MUL 50 $MUL 30 centimeter. The achieved precision is in the order of 2 $DOT 10$+$MIN@5$/. !5
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机译：摘要：开发了一种用于在生产环境中自动进行3D坐标测量的数字摄影测量系统。为了获取图像，使用了柯达DCS200数码相机。本相机基于标准的35毫米相机。 DCS200摄像机的辐射度和几何校准结果显示了该摄像机在摄影测量应用中的潜力。该系统的软件部分执行数字图像中存在的人造目标的检测，识别和测量。这些人造目标旨在自动检测复杂场景的图像。为了识别目标，图像处理软件会读取圆形条形码。最小二乘模板匹配方法用于目标图像测量。对于目标位置，获得了优于2％像素的精度。 3D坐标计算由Geodelta的捆绑包调整包BINAER执行。它包括广泛的统计测试，以评估结果的准确性。使用DCS200相机进行的测试显示，在测试场60 $ MUL 50 $ MUL 30厘米上的可重复性为18微米标准偏差。达到的精度约为2 $ DOT 10 $ + $ MIN @ 5 $ /。 ！5
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