Lecture Notes:

Date	Lecture Notes in PPT	Lecture Notes in PDF	Readings
March 30	Introduction	Introduction	None
April 1	Color and Texture	Color and Texture	Joe Redmon's Color Lecture; Shapiro & Stockman Ch 6-7; HW1
April 6	Resizing	Resizing	None
April 8	Filtering	Filtering	Shapiro & Stockman 5.4-5.5, Szeliski 3.2, 3.3.1, Morphological operations
April 13	Edges and Lines	Edges and Lines	Shapiro & Stockman 5.6-8 and 10.3.4, Szeliski 4.2.1; HW 2
April 15	Interest Operators 	Interest Operators	Szeliski 4.1.1, Harris Paper, SIFT paper
April 20	Describe and Match	Describe and Match	Szeliski 4.1.2-4.1.3, SIFT paper
April 22	Matching and Blending	Matching and Blending	Szeliski 6.1
April 27	CBIR and EM	CBIR and EM	S&S Ch 8; Yi's EM Classifier Paper; Yi's 2-Stage Paper
April 29	Learning 1; Kadir and Fergus	Learning 1; Kadir and Fergus	Related to S&S Ch 4; Kadir paper; Fergus paper
May 4	Face Detection and Recognition	Face Detection and Recognition	Viola Jones paper; S & S Ch 14.4.4
May 6	SVMs and Neural Nets; Multi-Class	SVMs and Neural Nets; Multi-Class	Related to S & S Ch 4 and Szeliski (2nd edition) Ch 5
May 11	Object Recognition	Object Recognition	Girshick Paper; Redmon's YOLO Paper; HW 4
May 13	CNN Basics; GANs	CNN Basics; GANs	PyTorch Tutorial
May 18	Guest Lecture	Rustin Soraki
May 20	Guest Lecture	Wisdom Ikezogwo
May 25	Memorial Day
May 27	Motion	Motion	Szeliski 8.4-8.5, S&S 9.3.4-6, Pyramid Paper; Ming Ye's paper; Motion Layers Paper
June 1	Stereo and 3D	Stereo and 3D	Shapiro and Stockman Chs 12-13