Computer Vision (CS 543 / ECE 549) – Spring
2015
The False Mirror,
Magritte, 1928
Class Time and Place: Tues, Thurs
11:00-12:15 at 1015 ECE Building
Instructors
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Email
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Office
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Office
Hours
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Derek Hoiem
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dhoiem
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Siebel 3312
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Monday 10-11
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Jia-bin Huang (TA)
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jbhuang1
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ECE 3034
ECE 2036
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Friday 11-12
Mon 2:30-3:30
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Kevin Shih (TA)
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kjshih2
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Siebel 0207
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Wednesday 5-6 |
Syllabus
Lecture
Recordings from 2012, Links to early
lectures
Bulletin Board
https://piazza.com/class/i4ohqjpy49s6ga
Homeworks
HW
1: due Feb 16 hw1
; hw1.zip ; leaderboard submit/results
; hw1_solutions
HW
2: due Mar 02 hw2 ; hw2.zip ; shape
matching evaluation (optional) submit/results
; hw2 solutions (p2)
HW
3: due Mar 16 hw3 ; hw3.zip
; vp
code/data/evaluation (optional) submit/results
; hw3_solutions
HW
4: due Apr 06 hw4 ; hw4.zip ;
leaderboard submit/results
; hw4_solutions
HW
5: due Apr 20 hw5 ; hw5.zip
; leaderboard submit/results
; hw5_solutions
Final Project
Proposal: due Apr 3
Homework submission on Compass
Resources
Recommended
Textbook:
Computer
Vision: A Modern Approach (2nd edition), Forsyth and Ponce 2011
Other
Useful Books:
Multiple
View Geometry in Computer Vision by Hartley and Zisserman
2004
Computer Vision: Algorithms and Applications
by Rick Szeliski 2010 (online, or can be purchased in
hardcover)
Computer
Vision by Linda Shapiro and George Stockman 2001
Matlab: Useful Functions List;
Reference Guide; Writing Fast
Code
Computer vision
resource page
Schedule (subject to change)
Note: FP 5 is short for Forsyth and Ponce chapter 5; HZ 6 for
Hartley and Zisserman chapter 6.
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Date |
Topic |
Slides |
Reading / Notes |
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Jan 20 (Tues) |
Intro: Logistics and Overview |
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Interpreting
Intensity |
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Jan 22 (Thurs) |
Light, Shading, and Color |
FP 2 (light and shading) FP 3 (color) |
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Jan 27 (Tues) |
Linear Filters, Spatial Domain |
FP 4.1-4.2 (linear filters) |
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Jan 29 (Thurs) |
Linear Filters, Frequency Domain |
FP 4.3-4.4 (spatial frequency, fft, sampling) |
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Feb 3 (Tues) |
Templates and Image Pyramids |
FP 4.5-4.7 (template matching, pyramids) |
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Feb 5 (Thurs) |
Edge Detection |
FP 5.1-5.2 (edge detection) |
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Correspondence and
Alignment |
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Feb 10 (Tues) |
Interest points |
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FP 5.3-5.5 (interest points) Grauman/Leibe Draft
Chapter on Local Features Important paper: Lowe - SIFT paper |
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Feb 12 (Thurs) |
Feature tracking, optical flow |
FP 11.1 (feature tracking) Seminal paper: Lucas Kanade 1981 |
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Feb 17 (Tues) |
Fitting and alignment |
HW 1 due Mon FP 10.1-10.4 (robust fitting) |
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Feb 19 (Thurs) |
Alignment and object instance recognition |
FP 12.1-12.2 (object alignment) Seminal Paper: Lowe-Object
Recognition |
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Perspective and 3D Geometry |
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Feb 24 (Tues) |
Camera models |
FP 1 (image formation) HZ6-7 (camera models, calibration) |
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Feb 26 (Thurs) |
Single-view geometry and calibration |
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Mar 3 (Tues) |
Image stitching |
HW 2 due Mon Brown Lowe 2007 ; (panoramic stitching) HZ4.1, HZ4.7 (direct linear transform, RANSAC) |
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Mar 5 (Thurs) |
Epipolar geometry, stereo |
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Mar 10 (Tues) |
Structure from motion |
Seminal paper: Tomasi Kanade 1992 |
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Grouping and Segmentation |
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Mar 12 (Thurs) |
Clustering, K-means |
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Mar 17 (Tues) |
Gestalt Cues and Image Segmentation |
HW 3 due Mon FP 9.3-9.5 (segmentation) Intro
to Mean-Shift -- Thirumuruganathan Boundaries
and Watershed – Arbelaez et
al. 2009 |
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Mar 19 (Thurs) |
EM Algorithm, Mixture of Gaussians |
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Mar 24, 26 |
No Class -- Spring Break! |
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Mar 31 (Tues) |
MRFs and Graph Cut Segmentation |
What Energy
Functions can be Minimized via Graph Cuts? - Kolmogorov and Zabih |
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Categorization and Object
Recognition |
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Apr 2 (Thurs) |
Face recognition |
Project Proposals due April
3 |
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Apr 7 (Tues) |
Image features and categorization |
HW 4 due Mon |
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Apr 9 (Thurs) |
Classification |
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Apr 14 (Tues) |
Object detection with statistical templates |
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Apr 16 (Thurs) |
Part-based models and pose estimation |
Grauman/Leibe Draft
Parts-based Models ; Pictorial
Structures (Felz.&Hutt 2005) |
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Apr 21 (Tues) |
Object tracking with Kalman
filters |
HW 5 due Mon FP 11 (tracking) |
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Advanced Topics |
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Apr 23 (Thurs) |
Action Recognition |
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Apr 28 (Tues) |
3D Scenes and Context |
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Apr 30 (Thurs) |
Class Summary, Important Open Problems, and Feedback
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May 5 (Tues) |
Convolutional Neural Networks |
Derek away, Jia-bin lectures |
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May 8 (Fri) 7-10pm |
Final Project Poster
Session in Siebel 2405 |
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May 11 (Mon) |
Final Project Paper is due |
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