Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1827-1833, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1827-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1827-1833, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1827-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

THE ONE TO MULTIPLE AUTOMATIC HIGH ACCURACY REGISTRATION OF TERRESTRIAL LIDAR AND OPTICAL IMAGES

Y. Wang1,2,3, C. Hu1,2,3, G. Xia1,2,3, and H. Xue1,2,3 Y. Wang et al.
  • 1School of Geomantic and Urban Information, Beijing University of Civil Engineering and Architecture, NO.15 Yongyuan Road, Daxing District, Beijing, 102616, China
  • 2Beijing, Key Laboratory for fine reconstruction and health monitoring of Architectural Heritage, NO.15Yongyuan Road, Daxing District, Beijing, 102616, China
  • 3Engineering Research Center of Representative Building and Architectural Heritage Database, Ministry of Education, Beijing, 100044, China

Keywords: Ground Lidar, Optical Image, Automatic, High Precision, Registration

Abstract. The registration of ground laser point cloud and close-range image is the key content of high-precision 3D reconstruction of cultural relic object. In view of the requirement of high texture resolution in the field of cultural relic at present, The registration of point cloud and image data in object reconstruction will result in the problem of point cloud to multiple images. In the current commercial software, the two pairs of registration of the two kinds of data are realized by manually dividing point cloud data, manual matching point cloud and image data, manually selecting a two – dimensional point of the same name of the image and the point cloud, and the process not only greatly reduces the working efficiency, but also affects the precision of the registration of the two, and causes the problem of the color point cloud texture joint. In order to solve the above problems, this paper takes the whole object image as the intermediate data, and uses the matching technology to realize the automatic one-to-one correspondence between the point cloud and multiple images. The matching of point cloud center projection reflection intensity image and optical image is applied to realize the automatic matching of the same name feature points, and the Rodrigo matrix spatial similarity transformation model and weight selection iteration are used to realize the automatic registration of the two kinds of data with high accuracy. This method is expected to serve for the high precision and high efficiency automatic 3D reconstruction of cultural relic objects, which has certain scientific research value and practical significance.