Lecture Notes:

Slides are a mishmash of lots of other people's work. Special thanks to: Rob Fergus, Joseph Redmon, Harvey Rhody, Steve Seitz, Rick Szeliski, Ali Farhadi, Robert Collins, Ricardo Martin Brualla.

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