ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-2/W7
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, 235–242, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W7-235-2019
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, 235–242, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W7-235-2019

  16 Sep 2019

16 Sep 2019

DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS

J. Zhu, Y. Xu, L. Hoegner, and U. Stilla J. Zhu et al.
  • Photogrammetry and Remote Sensing, Technical University of Munich (TUM), Germany

Keywords: MLS, point cloud, TIR images, co-registration, segmentation, point-based, pose estimation

Abstract. In this work, we discussed how to directly combine thermal infrared image (TIR) and the point cloud without additional assistance from GCPs or 3D models. Specifically, we propose a point-based co-registration process for combining the TIR image and the point cloud for the buildings. The keypoints are extracted from images and point clouds via primitive segmentation and corner detection, then pairs of corresponding points are identified manually. After that, the estimated camera pose can be computed with EPnP algorithm. Finally, the point cloud with thermal information provided by IR images can be generated as a result, which is helpful in the tasks such as energy inspection, leakage detection, and abnormal condition monitoring. This paper provides us more insight about the probability and ideas about the combining TIR image and point cloud.