Abstract
Abstract. As the 3D image measurement software is now widely used with the recent development of computer-vision technology, the 3D measurement from the image is now has acquired the application field from desktop objects as wide as the topography survey in large geographical areas. Especially, the orientation, which used to be a complicated process in the heretofore image measurement, can be now performed automatically by simply taking many pictures around the object. And in the case of fully textured object, the 3D measurement of surface features is now done all automatically from the orientated images, and greatly facilitated the acquisition of the dense 3D point cloud from images with high precision. With all this development in the background, in the case of small and the middle size objects, we are now furnishing the all-around 3D measurement by a single digital camera sold on the market. And we have also developed the technology of the topographical measurement with the air-borne images taken by a small UAV [1~5]. In this present study, in the case of the small size objects, we examine the accuracy of surface measurement (Matching) by the data of the experiments. And as to the topographic measurement, we examine the influence of GCP distribution on the accuracy by the data of the experiments. Besides, we examined the difference of the analytical results in each of the 3D image measurement software. This document reviews the processing flow of orientation and the 3D measurement of each software and explains the feature of the each software. And as to the verification of the precision of stereo-matching, we measured the test plane and the test sphere of the known form and assessed the result. As to the topography measurement, we used the air-borne image data photographed at the test field in Yadorigi of Matsuda City, Kanagawa Prefecture JAPAN. We have constructed Ground Control Point which measured by RTK-GPS and Total Station. And we show the results of analysis made in each of the 3D image measurement software. Further, we deepen the study on the influence of the distribution of GCP on the precision.
Highlights
As the 3D image measurement software is widely used with the recent development of computer-vision technology, the 3D measurement from the image is has acquired the application field from desktop objects as wide as the topography survey in large geographical areas
We have developed the technology of the topographical measurement with the air-borne images taken by a small UAV [1~5]
In the case of the small size objects, we examine the accuracy of surface measurement (Matching) by the data of the experiments
Summary
As the 3D image measurement software is widely used with the recent development of computer-vision technology, the 3D measurement from the image is has acquired the application field from desktop objects as wide as the topography survey in large geographical areas. The model obtained would be not of the real scale but of the relative scale To solve this problem, we can put lots of Ground Control Points (GCP) and level up the accuracy of the orientation by measuring the GCP on the display. Among the each of the software of 3D measurement, the method of orientation is different and it could create the difference in the results With this experiment, we made assessment separately on stereomatching (point cloud generation) function and on the accuracy of the orientation in the control points distribution. First we would dwell on the measuring flowchart of the each software and their features, report on the accuracy of surface measurement (stereo-matching) as well as on the accuracy verification of different ways of the distribution of control points.
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