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Reflection in a Level Set Framework for Geometric Optics 1

Li-Tien Cheng23, Myungjoo Kang4, Stanley Osher4, Hyeseon Shim4, Yen-Hsi Tsai5
Research supported by AFOSR Grant #F49620-01-1-0189
Department of Mathematics, University of California San Diego, La Jolla, California 92093
Research supported by NSF Grant #0112413 and NSF Grant #0208449
Level Set Systems Inc., 1058 Embury St., Pacific Palisades, CA 90272
Department of Mathematics, Princeton University, Princeton, New Jersey 08544

Computer Modeling in Engineering & Sciences 2004, 5(4), 347-360. https://doi.org/10.3970/cmes.2004.005.347

Abstract

Geometric optics makes its impact both in mathematics and real world applications related to ray tracing, migration, and tomography. Of special importance in these problems are the wavefronts, or points of constant traveltime away from sources, in the medium. Previously in [Osher, Cheng, Kang, Shim, and Tsai(2002)], we initiated a level set approach for the construction of wavefronts in isotropic media that handled the two major algorithmic issues involved with this problem: resolution and multivalued solutions. This approach was quite general and we were able to construct wavefronts in the presence of refraction, reflection, higher dimensions, and, in [Qian, Cheng, and Osher(2003)], anisotropy as well. However, the technique proposed for handling reflections of waves off objects, an important phenomenon involved in all applications of geometric optics, was inefficient and unwieldy to the point of being unusable, especially in the presence of multiple reflections. We introduce here an alternative approach based on the foundation presented in [Osher, Cheng, Kang, Shim, and Tsai(2002)]. This reworking allows the level set method to be considered for realistic applications involving reflecting surfaces in geometric optics.

Cite This Article

Cheng, L., Kang, M., Osher, S., Shim, H., Tsai, Y. (2004). Reflection in a Level Set Framework for Geometric Optics 1. CMES-Computer Modeling in Engineering & Sciences, 5(4), 347–360.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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