Need help understanding spherical harmonics

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SUMMARY

Spherical harmonics (SH) are a mathematical representation of functions defined on the surface of a sphere, utilizing a linear combination of basis functions. This representation is analogous to Fourier analysis, where functions are expressed as combinations of sine and cosine functions. The order of spherical harmonics corresponds to the frequency components in Fourier analysis, with coefficients determined through specific algorithms. Understanding SH requires recognizing that they do not depend on the radius of the sphere, focusing solely on angular components.

PREREQUISITES
  • Understanding of spherical coordinates and their parameterization.
  • Familiarity with Fourier analysis and its basis functions (sine and cosine).
  • Knowledge of image processing techniques, particularly Fourier transforms.
  • Basic grasp of linear algebra concepts related to basis functions and coefficients.
NEXT STEPS
  • Study the mathematical foundations of spherical harmonics in detail.
  • Learn about the algorithms for calculating spherical harmonic coefficients.
  • Explore the applications of spherical harmonics in image processing and computer graphics.
  • Investigate the relationship between spherical harmonics and other orthogonal functions.
USEFUL FOR

Mathematicians, physicists, computer graphics professionals, and anyone interested in advanced signal processing techniques, particularly in the context of spherical data representation.

pamparana
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Hello everyone,

I desperately need some help in understanding spherical harmonics and I would be really grateful if someone could help me understand them intuitively.

So, as I understand SH are another way to represent a function as a linear combination of some basis functions but the function lies on a sphere.

Here lies my first point of confusion. What does it mean when someone says a function is on a sphere. Does that mean that if we parameterize it using polar coordinates, then all the set of points have a constant radius. Is that a correct way to look at it?

Now, in Fourier analysis, we can break a function down as a combination of sin and cosine function. What is the equivalent in spherical harmonics? Are they some elementary functions like the sin and cosine? Also, what does it mean by the order of the spherical harmonics? What is the equivalent in the rectilinear Fourier side?

Another thing that I have trouble with is the process of determining the coefficients for both Fourier and SH. Normally, if there is a simple image processing software, it can do a Fourier transform of the image and the inverse. I appreciate that the signal we supply has to be bandlimited and we can only recover upto a certain frequency. However, there are as many number of coefficients as there are the basis functions. How can one determine the whole set of Fourier coefficients given one image? Wouldn't that be a under-determined system? We have one observation(one image) and more than one coefficient to find? I am not even sure if this question makes any sense. I hope it does and someone can help me understand it!


Thanks,

Luca
 
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