Lecture Notes:

Date	Lecture Notes in PPT	Lecture Notes in PDF	Readings
October 1	Introduction	Introduction	None
October 6	Color and Texture	Color and Texture	Joe Redmon's Color Lecture; Shapiro & Stockman Ch 6-7; HW1
October 8	Resizing	Resizing	None
October 13	Filtering	Filtering	Shapiro & Stockman 5.4-5.5, Szeliski 3.2, 3.3.1, Morphological operations
October 15	Edges and Lines	Edges and Lines	Shapiro & Stockman 5.6-8 and 10.3.4, Szeliski 4.2.1; HW 2; Walkthrough
October 20	Interest Operators 	Interest Operators	Szeliski 4.1.1, Harris Paper, SIFT paper
October 22	Describe and Match	Describe and Match	Szeliski 4.1.2-4.1.3, SIFT paper
October 27	Matching and Blending	Matching and Blending	Szeliski 6.1; HW3
October 29	CBIR and EM	CBIR and EM	S&S Ch 8; Yi's EM Classifier Paper; Yi's 2-Stage Paper
Nov 3	Learning 1; Kadir and Fergus	Learning 1; Kadir and Fergus	Related to S&S Ch 4; Kadir paper; Fergus paper
Nov 5	Face Detection and Recognition	Face Detection and Recognition	Viola Jones paper; S & S Ch 14.4.4
Nov 10	SVMs and Neural Nets; Multi-Class	SVMs and Neural Nets; Multi-Class	related to S & S Ch 4 and Szeliski (2nd edition) Ch 5
Nov 12	Object Recognition	Object Recognition	Girshick Paper; Redmon's YOLO Paper; HW 4