Abstract: This paper presents a new approach to the automatic registration of terrestrial laser scanning (TLS) point clouds using panoramic reflectance images. The approach follows a two-step procedure that includes both pair-wise registration and global registration. The pair-wise registration consists of image matching (pixel-to-pixel correspondence) and point cloud registration (point-to-point correspondence), as the correspondence between the image and the point cloud (pixel-to-point) is inherent to the reflectance images. False correspondences are removed by a geometric invariance check. The pixel-to-point correspondence and the computation of the rigid transformation parameters (RTPs) are integrated into an iterative process that allows for the pair-wise registration to be optimised. The global registration of all point clouds is obtained by a bundle adjustment using a circular self-closure constraint. Our approach is tested with both indoor and outdoor scenes acquired by a FARO LS 880 laser scanner with an angular resolution of 0.036° and 0.045°, respectively. The results show that the pair-wise and global registration accuracies are of millimetre and centimetre orders, respectively, and that the process is fully automatic and converges quickly.
Keywords: Point cloud; Registration; LIDAR; Terrestrial laser scanning; Automation; Image Matching
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Kang, Z.; Li, J.; Zhang, L.; Zhao, Q.; Zlatanova, S. Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images. Sensors 2009, 9, 2621-2646.
Kang Z, Li J, Zhang L, Zhao Q, Zlatanova S. Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images. Sensors. 2009; 9(4):2621-2646.
Kang, Zhizhong; Li, Jonathan; Zhang, Liqiang; Zhao, Qile; Zlatanova, Sisi. 2009. "Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images." Sensors 9, no. 4: 2621-2646.