CSE 455 Lecture Notes: Winter 2016

Date Lecture Notes in PPT Lecture Notes in PDF Readings
Jan 5
Introduction Introduction None
Jan 7
Filters Filters Shapiro & Stockman 5.4-5.5, Szeliski 3.2, 3.3.1, Forsyth 7.1
Jan 12
Edges and Lines Edges and Lines Shapiro & Stockman 5.6-8 and 10.3.4, Szeliski 4.2.1, Forsyth 5.2.1

Transformations Transformations Shapiro & Stockman 11.1-4, Szeliski 2.1.1-2
Jan 14
Color, Texture, Segmentation Color, Texure, Segmentation Shapiro & Stockman Ch 6, 7, and 10.1
Jan 19
Interest Operators Interest Operators Szeliski 4.1.1, Harris paper, and SIFT paper
Jan 21
Descriptors Descriptors Szeliski 4.1.2-4.1.3, SIFT paper
Jan 26
Image Stitching I; ink Image Stitching I Szeliski 6.1
Jan 28
Image Stitching II; Kadir Entropy Operator Image Stitching II; Kadir Entropy Operator Szeliski 6.1; Kadir paper
Feb 2
Object Recognition by Parts; Content-Based Image Retrieval Object Recognition by Parts; Content-Based Image Retrieval Shapiro & Stockman Ch 8; Fergus paper
Feb 4
Shapiro and Stockman Ch 13; Szeliski 2.1
Feb 9
Stereo; ink
Shapiro and Stockman Ch 12; Szeliski Ch 11
Feb 11
Shapiro and Stockman 13.9; Szeliski 11.6.1
Feb 16
Motion/Optical Flow; ink
Motion/Optical Flow
Pyramid Paper; Ming Ye's paper

Motion Layers
Motion Layers
Motion Layers Paper
Feb 18
Intro to Machine Learning; ink; Information Gain
Intro to Machine Learning; Information Gain
some material in Shapiro and Stockman Ch 4, rest is scattered; error ellipse
Feb 23 MODIFIED Feb 24
Viola-Jones paper; Assignment 4 Notes;
Feb 25
Face Recognition;
Face Recognition
Shapiro and Stockman 14.4.4; Szeliski 14.2
Mar 1
Object Recognition; ink
Object Recognition;
Generative/Discriminative Classification; HOG paper; Deformable Parts paper
Mar 3
Convolutional Neural Nets; ink
Convolutional Neural Nets;
RCNN paper
Mar 8
Guest Lectures> Latte paper; Tom Hanks paper
Mar 10
Deepali's Lecture Going over Final Exam And Evaluations with CELT
Mar 15
EXAMS DUE AT OR BEFORE NOON CSE 634 or my mailbox in the main CSE office