Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B5-2)

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
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.