Abstract
We present wavelet warping — a new class of forward 3D warping algorithms for image-based rendering. In wavelet warping most of the warping operation is performed in the wavelet domain, by operating on the coefficients of the wavelet transforms of the images and other matrices defined by the mapping. Operating in this fashion is often more efficient than performing the 3D warp in the standard manner. Perhaps more importantly, operating in the wavelet domain allows one to perform the 3D warping operation progressively and to generate target views at multiple resolutions. We describe wavelet warping of planar, cylindrical, and spherical reference images and demonstrate that the resulting algorithms compare favorably to their standard counterparts. We also discuss and demonstrate utilization of temporal coherence when wavelet-warping image sequences.
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References
G. Beylkin. On the representation of operators in bases of compactly supported wavelets. SIAM Journal of Numerical Analysis, 29:1716–1740, 1992.
G. Beylkin, R. Coifman, and V. Rokhlin. Fast wavelet transforms and numerical algorithms I. Comm. Pure Appl. Math., 44:141–183, 1991.
R. Calderbank, I. Daubechies, W. Sweldens, and B.-L. Yeo. Wavelet transforms that map integers to integers. Appl. Comput. Harmon. Anal, 5(3):332–369, 1998.
S. E. Chen. Quick Time VR — an image-based approach to virtual environment navigation. In Computer Graphics Proceedings, Annual Conference Series (Proc. SIGGRAPH ’95), pages 29–38, 1995.
S. E. Chen and L. Williams. View interpolation for image synthesis. In Computer Graphics Proceedings, Annual Conference Series (Proc. SIGGRAPH ’93), pages 279–288, 1993.
W. J. Dally, L. McMillan, G. Bishop, and H. Fuchs. The delta tree: An object-centered approach to image-based rendering. MIT AI Lab Technical Memo 1604, MIT, May 1996.
I. Daubechies and W. Sweldens. Factoring wavelet transforms into lifting steps. J. Fourier Anal. Appl., 4(3):245–267, 1998.
I. Drori. Image operations in the wavelet domain. Master’s thesis, School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel, Jan. 2000.
Internet Pictures Corporation (iPIX). http://www.ipix.com.
S. Mallat. A Wavelet Tour of Signal Processing. Academic Press, 1998.
W. R. Mark, L. McMillan, and G. Bishop. Post-rendering 3D warping. In Proceedings of the 1997 Symposium on Interactive 3D Graphics. ACM SIGGRAPH, Apr. 1997.
L. McMillan. An Image-Based Approach to Three-Dimensional Computer Graphics. PhD thesis, Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 1997.
L. McMillan and G. Bishop. Plenoptic modeling: An image-based rendering system. In Computer Graphics Proceedings, Annual Conference Series (Proc. SIGGRAPH ’95), pages 39–46, 1995.
J. W. Shade, S. J. Gortler, L. He, and R. Szeliski. Layered depth images. In M. Cohen, editor, Computer Graphics Proceedings, Annual Conference Series (Proc. SIGGRAPH ’98), pages 231–242, July 1998.
B. C. Smith and L. A. Rowe. Algorithms for manipulating compressed images. IEEE Computer Graphics and Applications, 13(5):34–42, Sept. 1993.
B. C. Smith and L. A. Rowe. Compressed domain processing of JPEG-encoded images. Real-Time Imaging, 2:3–17, 1996.
E. J. Stollnitz, T. D. DeRose, and D. H. Salesin. Wavelets for Computer Graphics: Theory and Applications. Morgan Kaufmann Publishers, Inc., San Francisco, CA, 1996.
W Sweldens. The lifting scheme: A construction of second generation wavelets. SIAM Journal of Mathematical Analysis, 29(2):511–546, 1997.
3DV Systems. http://www.3dvsystems.com.
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© 2000 Springer-Verlag Wien
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Drori, I., Lischinski, D. (2000). Wavelet Warping. In: Péroche, B., Rushmeier, H. (eds) Rendering Techniques 2000. EGSR 2000. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6303-0_11
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DOI: https://doi.org/10.1007/978-3-7091-6303-0_11
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