Combined 3D surveying techniques for structural analysis applications

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

Volumn 36, Issue 5/W17, 2005, Pages

  Guarnieri, A ^a   Pirotti, F ^a   Pontin, M ^a   Vettore, A ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

3D modeling; Cultural heritage; Procustes analysis; Structural analysis

Indexed keywords

3D MODELING; IMAGE RECONSTRUCTION; LASER APPLICATIONS; RESTORATION; STORMS; STRUCTURAL ANALYSIS; SURVEYS; TEXTURES; VIRTUAL REALITY; WALLS (STRUCTURAL PARTITIONS);

ANALYSIS ALGORITHMS; COMBINED TECHNIQUES; DIGITAL REPRESENTATIONS; DIGITAL SURFACE MODELS; INFORMATION CONTENTS; INTERACTIVE EXPLORATION; REGISTRATION METHODS; RETRO-REFLECTIVE TARGETS;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84870924034     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Beinat, A., Crosilla, F., 2001. Generalized Procrustes analysis for size and shape 3-D object reconstructions. In: Gruen, A., Kahmen, H. (Eds.), Optical 3-D Measurements Techniques V, Vienna, pp. 345-353.
2. Beraldin J.-A., Picard M., El-Hakim S., Godin G., Valzano V., 2003. Virtualizing a Byzantine Crypt: Challenge and Impact. Videometrics VIII. Proceedings of the SPIE. Volume 5013, pp. 148-159.
3. Besl P. J., McKay N. D., 1992. A method for registration of 3-D shapes. IEEE Trans. Patt. Anal. Machine Intell., 4(2): 239-256.
4. Bergevin R., Soucy M., Gagnon H. and Laurendeau D., 1996. Towards a general multi-view registration technique. IEEE Trans. Patt. Anal. Machine Intell., 18(5):540-547.
5. Bornaz L., Dequal S., 2004. The Solid Image: An Easy and Complete Way to Describe 3D Objects. Proc. of XXth ISPRS Congress, Istanbul, Turkey.
6. Chen Y., Medioni G, 1992. Object modelling by registration of multiple range images. Image and Vision Computing, 10(3):145-155.
7. Gruen A., Akca D., 2004. Least squares 3D surface matching. Int. Arch. of Photogrammetry and Remote Sensing, Vol. 34(5/W16), Dresden, Germany.
8. Leica Geosystems, 2004. The HDS 3000 technical specifications. http://www.leicageosystems.com.
9. Lissitz R.W., Schoenemann P.H., Lingoes J.C., 1976. A solution to the weighted Procrustes problem in which the transformation is in agreement with the loss function. Psychometrika, 41(4), pp. 547-550.
10. Pulli K., 1999. Multiview registration for large data sets. Proceedings of 3DIM 99.
11. Schoenemann, P.H., 1966. A generalized solution of the orthogonal Procrustes problem. Psychometrika, 31(1), pp. 1-10.
12. Schoenemann, P.H., Carroll, R., 1970. Fitting one matrix to another under choice of a central dilation and a rigid motion. Psychometrika, 35(2), pp. 245-255.
13. Stoddart A. J., Hilton A., 1996. Registration of multiple point sets. In Proceedings of the 13th IAPR International Conference on Pattern Recognition, pp. 40-44.