Volume XL-4/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 165-170, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-165-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 165-170, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-165-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  11 May 2015

11 May 2015

EXAMINATION ABOUT INFLUENCE FOR PRECISION OF 3D IMAGE MEASUREMENT FROM THE GROUND CONTROL POINT MEASUREMENT AND SURFACE MATCHING

T. Anai1, N. Kochi1,4, M. Yamada1, T. Sasaki1, H. Otani2, D. Sasaki2, S. Nishimura3, K. Kimoto3, and N. Yasui3 T. Anai et al.
  • 1General Technology Div., R&D Dept., TOPCON CORPORATION, 75-1, Hasunuma, Itabashi, Tokyo
  • 2Smart Infrastructure Company, Technology Development Dept., TOPCON CORPORATION, 75-1, Hasunuma, Itabashi, Tokyo
  • 3Keisoku Research Consultant Co.,Ltd.Creative design group
  • 4R&D Initiative, Chuo University, 1-13-27, Kasuga, Bunkyo-ku, Tokyo, Japan

Keywords: 3DModeling, Accuracy, Matching, Orientation, Surface measurement, UAV

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.