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What is Optical Flow about?

Optical flow refers to the apparent motion of brightness patterns in images as objects move, represented by a field of 2D vectors at each pixel. The computation of optical flow relies on assumptions of brightness constancy and small displacements, leading to challenges such as the aperture problem, which can be addressed using methods like Horn and Shunck and Lucas-Kanade. Regularization techniques are employed to mitigate noise and ensure smoothness in the optical flow estimation.

Author

rkmaurya

Language

EN