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Weekly Calendar

[Week 1] [Week 2] [Week 3] [Week 4] [Week 5]
[Week 6] [Week 7] [Week 8] [Week 9] [Week 10]
[Week 11] [Week 12] [Week 13] [Week 14] [Week 15]

Assignment code

E - Exercise (do not need to turn in).
H - Homework (need to turn in hardcopy).
P - Programming projects.
D - Specified assignments are due in class today.
M - Midterm exam.

Week 1

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Class Organizations General Introduction	Introduction	Preface of the textbook Chapter 1 Face Recognition Study	Syllabus
Wednesday	General Approaches to vision Single-site image operations	General Approach to Vision Single-site Operations	3.1			H: Homework1 #1 (Due 09/19/2016)

Week 2

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Wednesday	Local image operations	Local image operations I	3.3.2, 3.3.3, 3.2, 3.6

Week 3

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Local image operations (continued)	Local image operations II	3.2, 3.4.1-3.4.2,3.5
Wednesday	Local image operations (continued) Feature detection	Feature Detection	4.1.1-4.1.2

Week 4

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Edge detection	Edge Detection	4.2			H: homework #2 (Due 10/10/2016)
Wednesday	Camera Model	Camera Model	2.1

Week 5

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Camera Model (continued)					P: Programming Assignment #1 (Due 10/24/2016)
Wednesday	Epipolar geometry	Epipolar Geometry

Week 6

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Epipolar geometry (continued)
Wednesday	Kinect case study Correspondence, calibration, and advanced topics	Kinect Case Study Correspondence

Week 7

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Stereopsis (continued)
Wednesday	Segmentation	Segmentation	5.2, 5.3,5.4.5.5			H: Homework #3 (Due 10/31/2016) P: Programming Assignment #2 (Due 11/14/2016)

Week 8

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Segmentation (continued)	Active Contours	5.1			P: Term Project Guideline (Brief proposal due: Nov. 7, 2016) (Final report: 5:00pm, Dec. 16, 2016) Real-time face detection option (Due at 5:00pm, Dec. 16, 2016)
Wednesday	Segmentation (continued)

Week 9

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Segmentation (continued)	Segmentation based on Model Fitting
Wednesday	Segmentation (continued) Case study - Medical image segmentation	Medical Image Segmentation	5.5.1

Week 10

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Segmentation (Continued)
Wednesday	Recognition - Introduction Classifier	Recognition Classifiers	14.1

Week 11

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Classifiers (Continued)
Wednesday	Real-time face detection	Real-time face detection

Week 12

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Midterm exam review Questions and answers	Midterm Exam Review
Wednesday	Midterm Exam					M: Take-home exam Due before class on November 21, 2016

Week 13

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Face Recognition	Face recognition	14.2
Wednesday	Thanksgiving	No Class

Week 14

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Midterm Exam Results and Discussion
Wednesday	Face Recognition (Continued)	Face recognition (updated)

Week 15

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Monday	Tracking MonoSLAM	Tracking monoSLAM (Credit: Arturo Donate)
Wednesday	Case studies	Kinect-Fusion and Extensions Gradient-based Learning Neural Image Caption Generator Summary

Final Exam Week

Date	Topics	Lecture Notes	Reading	Handout	Papers	Assignments
Friday		5:00 PM, December 16, 2016,				Term Project

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Computer Vision, Last modified Aug., 2016