5. CONCLUSIONS AND FUTURE WORK
We presented an approach to construct photorealistic 3D models
of real-world objects. The system requirements are simple
therefore the method is attractive for many applications. A
bundle block adjustment was performed prior to volume
intersection and refined by an image matching algorithm. In
order to achieve good results for the image orientations, control
points and spatially well distributed tie points are measured
carefully.
The calculation of the visual hull is simple and fast and gives a
good approximation of the object. The ray tracing is slow,
therefore further investigations should be done for speed
optimization. Although the combination with the color image
matching to get into the concavities gives good results for
textured regions of the object, it is not reliable for non-textured
regions. In the future, we would like to check the current
algorithms for further automation, for example the automatic
measurement of tie points and the elimination of errors in the
adjustment process.
ACKNOWLEDGEMENTS
The author would like to thank O. Sinram and V. Rodehorst for
their contributions, J. Moré and A. Wiedemann for their helpful
assistance to the camera calibration and bundle block
adjustment task.
REFERENCES
Culbertson, W. B. Malzbender, T. Slabaugh, G. , 1999.
Generalized Voxel Coloring. Proc. of the Vision Algorithms,
Workshop of ICCV, pp. 67 — 74.
Kutulakos, N. and Seitz, M. , 1998. A Theory of Shape by
Space Carving. University of Rochester CS Technical Report
692.
Kraus, K. , 1997. Photogrammetry. Dümmlers Verlag, Band 2.,
pp. 15-19, Band 1.,pp. 349.
Kutulakos, K. N. and Seitz, S. M. , 1998. What Do N
Photographs Tell Us about 3D Shape? TR680, Computer
Science Dept. U. Rochester.
Kuzu, Y. Rodehorst, V. , 2001. Volumetric Modeling using
Shape from Silhouette. F ourth Turkish-German Joint Geodetic
Days., pp. 469-476.
Kuzu, Y. Sinram, O. , 2002. Photorealistic Object
Reconstruction using Voxel Coloring and Adjusted Image
Orientations. ACSM/ASPRS Annual Conference, Washington
DC, Proceedings CD-ROM, Proceed 00437.pdf.
Laurentini, A. , 1995. How far 3D Shapes Can Be Understood
from 2D Silhouettes. IEEE Transactions on Pattern Analysis
and Machine Intelligence, Vol.17, No.2.
Matusik, W. Buehler, C. Raskar, R. Gortler, S. J. and McMillan,
L., 2000. Image-Based Visual Hulls. SIGGRAPH 2000,
Computer Graphics Proceedings, Annual Conference Series,
pp. 369-374.
Niem, W. , 1994. Robust and Fast Modeling of 3D Natural
Objects from Multiple Views. Proceedings "Image and Video
Processing 11”, Vol. 2182, pp. 388-397.
Seitz, M. Dyer, R. , 1997. Photorealistic Scene Reconstruction
by Voxel Coloring. Proceeding of Computer Vision and Pattern
Recognition Conference, pp. 1067-1073.
Slabaugh, G. Culbertson, B. Malzbender, T. and Schafer, R. ,
2001. A survey of methods for volumetric scene reconstruction
from photographs. In International Workshop on Volume
Graphics, Stony Brook, New York.
Szeliski, R. , 1997. From images to models (and beyond): a
personal retrospective. Vision Interface '97, Kelowna, British
Columbia, Canadian Image Processing and Pattern
Recognition Society, pp. 126-137.
Szeliski, R. , 1991. Shape from rotation. IEEE Computer
Society Conference on Computer Vision and Pattern
Recognition (CVPR'91), pp. 625-630.
Vedula, S. Rander, P. Saito, H. and Kanade, T. , 1998.
Modeling, Combining, and Rendering Dynamic Real-World
Events From Image Sequences. Proc. 4th Conference on Virtual
Systems and Multimedia (VSMM98), pp. 326-332.
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