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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004 
modeling systems. Finally, ^ the markerless motion 
measurements and the recovered 3D positions of the human 
joints can also be used for gait analysis and sport medicine. 
REFERENCES 
Abdel-Aziz, Y., Karara, H., 1971: Direct linear transformation 
from comparator coordinates into object-space coordinates. 
Close range Photogrammetry, pp.1-18, ASPRS, Falls Church, 
Virginia. 
Bopp, H., Krauss, H., 1978: An orientation and calibration 
method for non-topographic applications. PE&RS, Vol. 44(9) 
Caprile B., Torre, V., 1990: Using vanishing point for camera 
calibration. International Journal of Computer Vision, Vol. 
4(2), pp. 127-139 
Criminisi, A, 1999: Accurate Visual Metrology from Single and 
Multiple Uncalibrated Images. Ph.D. Diss., Oxford University 
Cyberware: http://www.cyberware.com [January 2004] 
D'Apuzzo, N., Plänkers, R., Fua, P., Gruen, A., Thalmann, D., 
1999: Modeling human bodies from video sequences. In El- 
Hakim/Gruen (Eds.), Videometrics VI, Proc. of SPIE, Vol. 
3461, pp. 36-47 
D’Apuzzo, N., 2003: Surface Measurement and Tracking of 
Human Body Parts from Multi Station Video Sequences 
Ph.D. Dissertation, ETH Zurich, Nr. 15271 
Fischler, M, Bolles, R, 1981: Random sample consensus: a 
paradigm for model fitting with applications to image analysis 
and automated cartography. Comm. Assoc. Comp. Mach., Vol. 
24(6), pp. 381-395 
Fitzgibbon, A, Zisserman, A., 1998: Automatic 3D model 
acquisition and generation of new images from video 
sequences. Proceedings of European Signal Processing 
Conference, pp. 1261-1269 
Foerstner, W., 2000: New orientation procedure. Int. Arch. of 
Photogrammetry and Remote Sensing, 33(3), pp. 297-304 
Gavrila, D.M., Davis, L., 1996: 3D model-based tracking of 
humans in action: a multi-view approach. IEEE CVPR Proc. 
pp. 73-80 
Gruen, A., 1985: Adaptive least squares correlation: a powerful 
image matching technique. South African Journal of 
Photogrammetry, Remote Sensing and Cartography, Vol. 14(3), 
pp.175-187 
Hartley. R., Zisserman, A., 2000: Multiview geometry in 
computer vision. Cambridge Press 
Howe, N., Leventon, M., Freefnan, W., 2000: Bayesian 
reconstruction of 3D human motion from single-camera video. 
Advances in Neural Information Processing System, Vol. 12, 
pp. 820-826, MIT Press 
Krauss, K., 1996: Photogrammetry, Vol.2. Duemmler Verlag, 
Bonn 
Learning Maya 5 - Foundation, 2003. Alias Wavefront 
http://www.aliaswavefront.com [January 2004] 
Pollefeys, M., Koch, R., Van Gool, L., 1998: Self calibration 
and metric reconstruction in spite of varying and unknown 
internal camera parameters, IEEE. ICCV Proc., pp.90-96 
Ramsis: http://www.ramsis.de [January 2004] 
Remondino, F., 2002: Image Sequence Analysis for Human 
Body Reconstruction. Int. Arch. of Photogrammetry and 
Remote Sensing, Vol. 34(5), pp. 590-595 
Remondino, F., 2003: Recovering Metric Information from Old 
Monocular Video Sequences. In Gruen/Kahmen (Eds.). VI 
Conference on Optical 3D Measurement Techniques, Vol.2, pp 
214-222 
Remondino, F., Roditakis, A., 2003: Human Figures 
Reconstruction and Modeling from Single images or Monocular 
Video Sequences. 4th IEEE International 3DIM Conference 
Roth, G., Whitehead, A., 2000: Using projective vision to find 
camera positions in an image sequence. 13^ Vision Interface 
Conference 
Semple, J.G., Kneebone, G.T., 1952: Algebraic Projective 
Geometry, Oxford Press 
Shashua, A., 1994: Trilinearity in visual recognition by 
aligment. ECCV, Lectures Notes in Computer Science, 
Vol.800, Springer-Verlag, pp.479-484 
Sidenbladh, H., Black, M., Fleet, D., 2000: Stochastic Tracking 
of 3D Human Figures Using 2D Image Motion. European 
Conference on Computer Vision, D. Vernon (Ed.), Springer 
Verlag, LNCS 1843, pp. 702-718 
Slama, C., 1980: Manual of Photogrammetry. ASPRS, Falls 
Church, Virginia 
Sminchisescu, C., 2002: Three Dimensional Human Modeling 
and Motion Reconstruction in Monocular Video Sequences 
Ph.D. Dissertation, INRIA Grenoble 
Tuytelaars T., Van Gool, L., 2000: Wide baseline stereo 
matching based on local, affinely invariant regions, Proc. 
British Machine Vision Conference, Vol. 2, pp. 412-425 
Van den Heuvel, F.A., 1999: Estimation of interior parameters 
from constraints on line measurements in a single image. Int. 
Arch. of Photogrammetry and Remote Sensing, 32(5), pp.81-88 
Yamamoto, M., Sato, A., Kawada, S., Kondo T., Osaki, Y., 
1998: Incremental Tracking of Human Actions from Multiple 
Views. IEEE CVPR Proceedings 
Wolf, P., Dewitt, B., 2000: Elements of Photogrammetry. 
McGraw Hill, New York 
Zheng, Z., Wang, X, 1992: A general solution of a closed-form 
space resection. PE&RS, Vol. 58(3), pp.327-338