π -> 10/8: Mostly sampling
π€ Vocab
β Unit and Larger Context
Viola Johns Face Detector - Given an image, it finds the location of the face
- Cheap to run, very common on phones
βοΈ -> Scratch Notes
Fourier Transform is used?
Sampling and the Nyquist rate
β’ Aliasing can arise when you sample a continuous signal or image
- occurs when your sampling rate is not high enough to capture the amount of detail in your image
- Can give you the wrong signal/imageβan alias
- formally, the image contains structure at different scales
- called βfrequenciesβ in the Fourier domain
- the sampling rate must be high enough to capture the highest frequency in the image
β’ To avoid aliasing: - sampling rate β₯ 2 * max frequency in the image
- said another way: β₯ two samples per cycle
- This minimum sampling rate is called the Nyquist rate
Blurring a camera (physically, out of focus or fogging up glasses) can be used as a form of anti-aliasing, as it will reduce the high frequency signals
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