An automatic procedure for co-registration of terrestrial laser scanners and digital cameras

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 64, Issue 3, 2009, Pages 308-316

  González Aguilera, Diego ^a   Rodríguez Gonzálvez, Pablo ^a   Gómez Lahoz, Javier ^a  

^a UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

Close range photogrammetry; Image analysis; Laserscanning; Sensor fusion; Software development

Indexed keywords

AUTOMATIC PROCEDURES; CAMERA IMAGES; CLOSE-RANGE PHOTOGRAMMETRY; CO REGISTRATIONS; LASER SCANNERS; LASERSCANNING; NEW APPLICATIONS; OPEN-SOURCE TOOLS; PHOTOGRAMMETRIC MEASUREMENTS; PROCESSING CAPABILITIES; RANGE IMAGES; SENSOR FUSION; SENSOR TECHNOLOGIES; SOFTWARE DEVELOPMENT;

CAMERAS; DIGITAL CAMERAS; IMAGE ANALYSIS; LASER PULSES; LASERS; MULTISPECTRAL SCANNERS; PHOTOGRAMMETRY; SCANNING; SODIUM COMPOUNDS; SOFTWARE DESIGN; SURVEYING INSTRUMENTS; VIDEO CAMERAS;

DATA PROCESSING;

ALGORITHM; AUTOMATION; DIGITAL IMAGE; IMAGE ANALYSIS; LASER; PHOTOGRAMMETRY; SCANNER; SENSOR;

EID: 67349148929     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2008.10.002     Document Type: Article

References (22)

1. Aguilera D.G., and Lahoz J.G. sv3DVision: Didactical photogrammetric software for single image-based modeling. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36 Part 6 (2006) 171-179
2. Aguilera, D.G., Lahoz, J.G., 2006b. Terrestrial laser scanner and high-resolution camera registration through single image-based modeling. In: Proceedings VAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, pp. 53-60
3. Al-Manasir K., and Fraser C.S. Registration of terrestrial laser scanner data using imagery. Journal of Photogrammetric Record 21 115 (2006) 255-268
4. Alshawabkeh Y., Haala N., and Fritsch D. 2D-3D feature extraction and registration of real world scenes. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36 Part 5 (2006) 32-37
5. Brown C.D. Close-range camera calibration. Photogrammetric Engineering 37 8 (1971) 855-866
6. Elstrom, M., 1998. A Stereo-Based Technique for the Registration of Color and LIDAR images. Master's Thesis. University of Tennessee, Knoxville
7. Fischler M.A., and Bolles R.C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24 6 (1981) 381-395
8. Förstner, W., Gülch, E., 1987. A fast operator for detection and precise location of distinct points, corners and centers of circular features. In: Proceedings of ISPRS Intercommission Conference on Fast Processing of Photogrammetric Data, Interlaken, pp. 281-305
9. Grün A. Adaptive least squares correlation: A powerful image matching technique. South African Journal of Photogrammetry, Remote Sensing and Cartography 14 3 (1985) 175-187
10. Hartley R., and Zisserman A. Multiple View Geometry in Computer Vision (2000), Cambridge University Press, Cambridge
11. Heipke C. Automation of interior, relative and absolute orientation. ISPRS Journal of Photogrammetry and Remote Sensing 52 1 (1997) 1-19
12. Ikeuchi, K., Nakazawa, A., Nishino, K., Oishi, T., 2003. Creating virtual Buddha statues through observation. In: Proceedings IEEE/CVPR Workshop on Applications of Computer Vision in Archaeology, Wisconsin, USA
13. Lawson C.L., and Hanson R.J. Solving Least Squares Problems (1974), Prentice-Hall, Englewood Cliffs, NJ
14. Lensch H.P., Heidrich W., and Seidel H.P. A silhouette-based algorithm for texture registration and stitching. Graphical Models 63 4 (2001) 245-262
15. Longuet-Higgins H.C. A computer algorithm for reconstructing a scene from two projections. Nature 293 (1981) 133-135
16. Lowe, D.G., 1999. Object recognition from local scale-invariant features. In: Proceedings of International Conference on Computer Vision, Kerkyra, Greece, vol. 2, pp. 1150-1157
17. McAllister, D.K., Nyland, L.S., Popescu, V., Lastra, A., McCue, C., 1999. Real-time rendering of real world environments. In: Proceedings 10th Eurographics Workshop on Rendering, Granada, Spain, pp. 145-160
18. Nister D. An efficient solution to the five-point relative pose problem. Proceedings of IEEE Computer Society, Conference on Computer Vision and Pattern Recognition vol. 2 (2003) 195-202
19. Rocchini, C., Cignomi, P., Montani, C., Scopigno, R., 1999. Multiple textures stitching and blending on 3D objects. In: Proceedings 10th Eurographics Workshop on Rendering, Granada, Spain, pp. 119-130
20. Sampson P.D. Fitting conic sections to 'very scattered' data: An iterative refinement of the bookstein algorithm. Computer Graphics and Image Processing 18 1 (1982) 97-108
21. Stamos, I., Allen, P.K., 2001. Automatic registration of 2-D with 3-D imagery in urban environments. In: Proceedings of the 8th IEEE International Conference on Computer Vision, vol. 2, pp. 731-736
22. Wendt A., and Heipke C. Area-based orientation of brightness, range and intensity images. Photogrammetrie-FernerKundung-Geoinformation 3 (2007) 187-198