Computer Vision Foundations · free preview
The Limits of Discrete Gaussians
Sampling a Gaussian breaks the algebra that made it attractive, closure fails and the Nyquist wave survives, and pyramids would drift.
1. Sampling breaks the closure
Sampling breaks the closure
2. Errors that compound
Errors that compound
3. The Nyquist wave survives
The Nyquist wave survives
4. What the fix must look like
What the fix must look like
5. Why closure matters in a pyramid
A Gaussian pyramid is built by repeatedly blurring with a sampled Gaussian kernel. Why does the non-closure of sampled Gaussians matter after many levels?
6. The wave that must die exactly
Before downsampling an image by discarding every other pixel, a blur is applied. Why must the blur null the alternating wave exactly rather than attenuate it strongly?
7. Cascading two blurs
Two Gaussian blurs with variances and are cascaded in the continuous world. Write the resulting variance as a number.
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