Motion estimation
	Input:  sequence of images Output:  point correspondence Feature correspondence:  “Feature Tracking” • we’ve seen this already (e.g., SIFT) • can modify this to be more accurate/efficient if the images are in sequence (e.g., video) Pixel (dense) correspondence:  “Optical Flow” • today’s lecture