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Demystifying Spherical Harmonics: An Optimization Approach
Andrew Helmer teaches spherical harmonics for computer graphics by starting from a familiar engineering problem, approximating a spherical lighting function, and solving it with plain least-squares regression in Python. The result turns out equivalent to L1 and L2 SH, and it exposes the bias and ringing pitfalls of naive SH use.
28 min · 6,522 wordsagent-assisted