Abstract
We applied an image-based modeling and rendering technique to reduce the data size of a CG model to be obtained as a visualization result. To date, this technique has been applied to the reconstruction of 3D graphical models from real objects; the size of the models can be reduced effectively because both color information and geometric information can be reduced. We applied a silhouette-and-voxel method that does not require design data for geometric simplification. Using our system, we simplified two models, one of which, involving medical data, was reduced by about 85% in file size. An accompanying subjective quality test showed that our approach maintains approximately the same visual quality as the geometric simplification method traditionally used.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bartz, D., Large Model Visualization Techniques and Applications, Journal of WSCG, 11-1 (2003), ISBN 80-903100-2-8.
Cignoni, P., Montani, C., Rocchini, C. and Scopigno, R., A General Method for Preserving Attribute Values on Simplified Meshes, Proceedings of IEEE Visualization 98 (1998), 59–66.
Enjoji, H., Miyachi, H. and Taniguchi, N., Polygon Reduction Quality Assessment Method based on Cognitive Characteristics, proceedings of the 17th Computational Mechanics Conference, 04–40 (2004), 439–442 (in Japanese).
He, T., Hong, L., Kaufman, A., Varshney, A. and Wang, S., Voxel Based Object Simplification, Proceedings of the 6th Conference on Visualization ′95 (1995), 296–303.
Hechbert, S. P. and Garland, M., Survey of Polygonal Surface Simplification Algorithms, Technical Report CMU-CS, (1997), Carnegie Mellon University.
Jagersand, M., Burschaka, D., Cobzas, D., Dodds, Z., Hager, G. and Yerex, K., Recent Methods for Image-Based Modeling and Rendering, IEEE Virtual Reality 2003, Tutorial 1 (2003).
Klein, R., Liebich, G. and Straßer, W., Mesh Reduction with Error Control, Proceedings of Visualization, 96 (1996), 311–318.
Mulayim, Y. A., Yylmaz, U. and Atalay, V., Silhouette-Based 3D model Reconstruction from Multiple Images, IEEE Trans. on Systems, Man and Cybernetics, Part B, 33-4 (2003), 582–591.
Okatani, T. and Deguchi, K., Reconstructing Shape from Shading with a Point Light Source at the Projection Center — Shape Reconstruction from an Endoscope Image, Proceedings of the 13th International Conference on Pattern Recognition, (Vienna), 1 (1996-8), 830–834.
Someya, S., Okamoto, K. and Tanaka, G., 3D Shape Reconstruction from Synthetic Images Captured by a Rotating Periscope System with a Single Focal Direction, Journal of Visualization, 6-2 (2003), 155–164.
Toriwaki, J. and Mori, K., Visualization of the Human Body toward the Navigation Diagnosis with the Visualized Human Body, Journal of Visualization, 1-1 (1998), 111–124.
Author information
Authors and Affiliations
Corresponding author
Additional information
Hideo Miyachi: He received his M.S. degree in Industrial Mechanical Engineering in 1987 at Okayama University. He began working in Kubota Computer, Inc. in 1987 as a system engineer. He has worked in the Visualization Department of KGT, Inc. (Kubota Graphics Technology) since 1994. His research interests are computer visualization, parallel visualization and virtual reality systems.
Naohisa Sakamoto: He was born in Kyoto, Japan in 1975. He received his B.S. and M.S. degrees from the Department of Electronics and Informatics of Ryukoku University, Japan, in 1999 and 2001, respectively. From 2001 to 2002, he worked for KGT. Since 2003, he has been a research scientist at the Center for the Promotion of Excellence in Higher Education, Kyoto University. His research interests include scientific visualization and computer vision.
Rights and permissions
About this article
Cite this article
Miyachi, H., Sakamoto, N. Data reduction by applying an image-based modeling and rendering technique to CG models. J Vis 8, 331–338 (2005). https://doi.org/10.1007/BF03181552
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF03181552