788
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008
The software allows to section 3D models in a number of ways.
Sectioning can be performed manually or in an automatic mode
according to chosen reference points. There can be one or more
sections, parallel to each other. The sections are depicted as
contours on 2D images (Figure 12). With the help of the
software it is possible to study the correspondence of each
prepared tooth contour on a 2D image to contours of the same
intact tooth, tooth prosthesis and the opposite tooth and then
perform precise measurements on them. Studying and making
measurements on sections is the essence of the investigation.
5. CONCLUSION
The photogrammetric techniques for dentistry analysis,
planning and visualization are developed. They are based on
accurate high resolution 3D models of patient face and teeth
arches. The developed original photogrammetric systems
provide fast and accurate generating patient face 3D model and
full 3D model of teeth arches in automated mode.
Surface-based teeth occlusion registration provides accurate
opposite teeth arch 3D models installing in position given by
silicon registration mould. 3D modelling of occlusion gives to a
dentist valuable mean for teeth hidden surfaces analysis. The
accuracy of 3D models reconstruction and arrangement for both
methods is sufficient for dentistry applications.
The developed techniques allow fast and accurate generating
full 3D model of a teeth arches in given occlusion and a multi
resolution face 3D model for treatment planning and
visualisation. The developed software gives to a dentist new
effective and convenient means for teeth occlusion study,
treatment planning and documenting.
REFERENCES
Besl, P.J., McKay, N.D., 1992. A method for registration of 3-
D shapes, IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol. 14, no.2, pp. 239-256
Curless, B., Levoy, M., 1996. A Volumetric Method for
Building Complex Models from Range Images. SIGGRAPH 96
Conference proceedings, pp. 303-312
Knyaz V., Zheltov S.., Gaboutchan A., Bolshakov G.
Photogrammetric system for automated teeth arches 3D models
generation and teeth occlusion analysis. Proceedings of
“Optical 3D measurements techniques” 2007, Zurich,
Switzerland, pp. 135-140
Knyaz V.A., Zheltov S.Yu., 2005. On-line calibration technique
for mobile robot. EOS Conference on Industrial Imaging and
Machine Vision, Munich, Germany, June 13-15, pp. 95-97
Knyaz, V., 2002. Method for on-line calibration for automobile
obstacle detection system. Proceedings of ISPRS Commission
V Symposium “CLOSE-RANGE IMAGING, LONG-RANGE
VISION”, Vol. XXXIV, part 5, Commission V, 2002, Corfu,
Greece, pp. 48-53