The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008 
4. CONCLUSION AND FUTURE WORK 
The results of the registration is insufficient for combination of 
te laser scanner. If there are not overlap between adjacent point 
clouds, elements of the translation vector is estimated with 
difference of 0 S1 -0 S 2- In this situation is not given enought 
accuracies result. If effect of the radial lens distortion is 
compute and remove of its, the accuracy of the registration can 
be increased. Also, If pixel size is enough small and increase of 
number of the points, accuracy of the registration can be 
increased. These situations will be investigated in the next study. 
ACKNOWLEDGEMENT 
The authors wish to acknowledge for the cooperation and the 
financial assistance given by the Scientific Research Found 
(BAP) of Selcuk University. 
REFERENCES 
Besl, P.J., McKay, N.D., 1992. A Method for resgistration of 
3D shapes, IEEE Transaction on Pattern Analysis and Machine 
Intelligence 14(2), pp. 
239-256. 
Chen, Y., Medioni, G., 1992. Object modelling by registration 
of multiple range images, Image and Vision Computing, 10(3), 
pp. 145-155. 
Sharp, G.C., Lee, S.W., Wehe, D.K., 2002. ICP registration 
using invariant features, IEEE Transsaction on Pattern Analysis 
and Machine Intelligence 24(1), pp. 90-102. 
Johnson, A.E., Kang, S.B., 1999. Registration and integration of 
textured 3D data, Image & Vision Computing 17(2), pp. 135- 
147. 
Liu, Y., 2006. Automatic registration of overlapping 3D point 
clouds using closest points, Image and Vision Computing 24 
(2006), pp. 762-781. 
Rusinkiewicz, S., Levoy, M., 2001. Efficient variants of the ICP 
algorithm, Proceedings of the 3DIM, pp. 145-152. 
Chetverikov, D., Svirko, D., Stepanov, D., Krsek, P., 2002. The 
trimmed iterative closest point algorithm, Proceedings of 16 th 
International Conference on Pattern Recognition (ICPR’02), 
August 11-15, Quebec City, Canada, volume 3, pp.545-548. 
Gruen, A., Akca, D., 2005. Least sequares 3D surface and curve 
matching, ISPRS Journal of Photogrammetry and Remote 
Sensing 59(2005) 151-174. 
Scaioni, M., 2002. Independent model triangulation of 
terrestrial laser scanner data, The ISPRS Intematioanl Archives 
of Photogrammetry, Remote Sensing and Spatial Information 
Sciences 34(5/W12) (2002), pp. 308-313. 
Dold, C., Brenner, C., 2006. Registration of terrestrial laser 
scanning data using planar patches and image data. The ISPRS 
Intematioanl Archives of Photogrammetry, Remote Sensing and 
Spatial Information Sciences 36(5), pp. 78-83. 
Talaya J., Alamus R., Bosch E., Sera A., Komuss W., Baron A., 
2004. Integration of terrestrial laser scanner with GPS/IMU 
orientation sensors, XXth ISPRS Congress, 12-23 July, 
Istanbul/Turkey, pp.on CD. 
Scaioni, M., 2005. Direct georeferencing of TLS in surveying 
of complex sites, Proceedings of ISPRS Working Group V/4 
Workshop, 22-24 August, Mestre-Venice, Italy, ISSN 1682- 
1777. 
Wenfeng, H., Wei, M., Hongbin, Z., 2005. Automatic 
registration of range images based on correspondence of 
complete plane patches. Proceedings of the fifth international 
conference on 3-D Digital Imaging and Modelling (3DIM’05), 
ISBN 1550-6185/05. 
Zhi, L., Tang, J., 2002. A Complete linear 4-point algorithm for 
camera pose determination, MM Research Preprints, MMRC, 
AMSS, Academia, Sinica, Beijing, No. 21, December 2002, pp. 
239-249. 
600