Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 809-815, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-809-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 809-815, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-809-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Sep 2017

13 Sep 2017

RESEARCH OF REGISTRATION APPROACHES OF THERMAL INFRARED IMAGES AND INTENSITY IMAGES OF POINT CLOUD

L. Liu1,2, Z. Wei2, X. Liu1,2, and Z. Yang3 L. Liu et al.
  • 1Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing, China
  • 2Chinese Academy of Surveying and Mapping, Beijing, China
  • 3School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

Keywords: Image registration, Intensity image of point cloud, Thermal infrared image, Partial intensity invariant feature descriptor

Abstract. In order to realize the analysis of thermal energy of the objects in 3D vision, the registration approach of thermal infrared images and TLS (Terrestrial Laser Scanner) point cloud was studied. The original data was pre-processed. For the sake of making the scale and brightness contrast of the two kinds of data meet the needs of basic matching, the intensity image of point cloud was produced and projected to spherical coordinate system, histogram equalization processing was done for thermal infrared image.This paper focused on the research of registration approaches of thermal infrared images and intensity images of point cloud based on SIFT,EOH-SIFT and PIIFD operators. The latter of which is usually used for medical image matching with different spectral character. The comparison results of the experiments showed that PIIFD operator got much more accurate feature point correspondences compared to SIFT and EOH-SIFT operators. The thermal infrared image and intensity image also have ideal overlap results by quadratic polynomial transformation. Therefore, PIIFD can be used as the basic operator for the registration of thermal infrared images and intensity images, and the operator can also be further improved by incorporating the iteration method.