Point based registration of terrestrial laser data using intensity and geometry features

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 37, Issue , 2008, Pages 583-589

  Wang, Zhi ^a,b   Brenner, Claus ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b WUHAN UNIVERSITY   (China)

Author keywords

Algorithms; Geometry; Laser scanning; Point cloud; Registration; TLS

Indexed keywords

ALGORITHMS; GEOMETRY; LASER APPLICATIONS; REMOTE SENSING; SCANNING; STEEL BEAMS AND GIRDERS; SURFACE ANALYSIS; THALLIUM;

AUTOMATIC REGISTRATION; LASER SCANNING; POINT CLOUD; POINT-BASED REGISTRATIONS; REGISTRATION; RETRO-REFLECTIVE TARGETS; TERRESTRIAL LASER SCANNING; TERRESTRIAL LASER SCANS;

SURVEYING INSTRUMENTS;

EID: 84970903020     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Bae, K. and Lichti, D., 2004. Automated registration of unorganised point clouds from terrestrial laser scanners. International Archives of Photogrammetry and Remote Sensing 35 (Part B5), pp. 222-227.
2. Barnea, S. and Filin, S., 2008. Keypoint based autonomous registration of terrestrial laser point-clouds. ISPRS Journal of Photogrammetry & Remote Sensing, Theme Issue: Terrestrial Laser Scanning 63, pp. 19-35.
3. Bendels, G. H., Degener, P., Wahl, R., Körtgen, M. and Klein, R., 2004. Image-based registration of 3d-range data using feature surface elements. In: The 5th International Symposium on Virtual Reality, Archaeology and Cultural Heritage.
4. Besl, P. J. and McKay, N. D., 1992. A method for registration of 3-d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(2), pp. 239-256.
5. Böhm, J. and Becker, S., 2007. Automatic marker-free registration of terrestrial laser scans using reflectance features. In: 8th Conf. on Optical 3-D Measurement Techniques, Zurich, pp. 338-344.
6. Brenner, C., Dold, C. and Ripperda, N., 2008. Coarse orientation of terrestrial laser scans in urban environments. ISPRS Journal of Photogrammetry & Remote Sensing, Theme Issue: Terrestrial Laser Scanning 63, pp. 4-18.
7. Chen, Y. and Medioni, G., 1991. Object modeling by registration of multiple range images. In: International Conference on Robotics and Automation, Vol. 3, pp. 2724-2729.
8. Cohen-Steiner, D. and Jean-Marie, M., 2003. Restricted delaunay triangulations and normal cycle. In: The 19th Conference on Computational Geometry, Vol. 53, San Diego, California, pp. 312-321.
9. Dold, C. and Brenner, C., 2006. Registration of terrestrial laser scanning data using planar patches and image data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 36 (Part 5), pp. 25-27.
10. Fischler, M. A. and Bolles, R. C., 1981. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24(6), pp. 381-393.
11. Lowe, D., 2003. Distinctive image features from scale-invariant keypoints. In: International Journal of Computer Vision, Vol. 20, pp. 91-110.
12. Rusinkiewicz, S. and Levoy, M., 2001. Efficient variants of the icp algorithm. In: Third Int. Conf. on 3D Digital Imaging and Modeling (3DIM), Quebec, Canada, pp. 142-152.