Category Archives: Computer Vision

Optical Flow via Bilinear Spline Matching

Comparing gradient descent path to Newton's method for small steps. Optical flow is the apparent motion of objects across multiple images or frames of video.  It has many applications in computer vision including 3D structure from motion and video super resolution. In this article I illustrate one specific technique for calculating sub-pixel accurate dense optical flow by matching continuous image areas using optimization techniques over bilinear splines.
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