Spatial and temporal surface interpolation using wavelet bases

Alexander P. Pentland

doi:10.1117/12.49974

1 September 1991 Spatial and temporal surface interpolation using wavelet bases

Alexander P. Pentland

Proceedings Volume 1570, Geometric Methods in Computer Vision; (1991) https://doi.org/10.1117/12.49974
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

Efficient solutions to spatial interpolation problems (e.g., regularization) and spatio-temporal interpolation problems (e.g., regularization plus Kalman filtering) can be obtained by using wavelet bases either for problem discretization or for preconditioning. Good approximate solutions can be obtained in only O(n) operations and O(n) storage locations, so that rear-real- time implementations are possible on standard microprocessors.

Citation Download Citation

Alexander P. Pentland "Spatial and temporal surface interpolation using wavelet bases", Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); https://doi.org/10.1117/12.49974

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