Computer Vision: 4. Image Frequency
Fourier Transform Fourier Series Sine/cosine and circle Convolution Theorem
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Articles tagged with #computer-vision
Fourier Transform Fourier Series Sine/cosine and circle Convolution Theorem
3.1 Image Resizing image if we throw away even rows and columns -> losing informations Camera image as a function f(x,y) : position to light cameras cannot measure continuous space Sub-sampling camera aliasing; dropping the rest of the rows and ...
2.1 Properties of Light Light is an electromagnetic radiation (EMR) λ: wavelength Plenoptic Function R(X, Y, Z, θ, Φ, λ, t) 3 position, 2 angle, strength, time The Light Field R(u, v, s, t) where light captured between two plane (u, v) and (s...
Textbook Computer Vision: Algorithms and Applications, 2nd ed. / Richard Szeliski What is Computer Vision? Simulating human eyes What do computers see? pixels with int value Human perception sees illusions Computer Vision Techniques Image cl...