Spherical Sampling by Archimedes' Theorem
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Technical Reports (CIS)
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Archiniedes' theorem
axial projection
Monte Carlo
solid angle
spherical sampling
Theory and Algorithms
axial projection
Monte Carlo
solid angle
spherical sampling
Theory and Algorithms
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Shao, Min-Zhi
Badler, Norman
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Abstract
In this paper we present a simple and efficient algorithm for generating uniformaly distributed samples on the unit sphere based on an Archimedes' theorem. The implementation is straightforward and may be easily extended to include stratified sampling for variance reduction. Applications in image synthesis include solid angle measurement, irradiance computation, and rendering equation solution for geometrically complex environments.
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1996
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University of Pennsylvania Department of Computer and Information Science Technical Report No.MS-CIS-96-02.