| 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 | General Approach to Vision | Chapter 1 | |||
| Friday | Single-site image operations | Single-site Operations | 3.1 | H: Homework1 #1 (Due 09/15/2014)  | 
| 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 | |||
| Friday | 
Local image operations (continued)  | 
Local image operations II | 3.2, 3.4.1-3.4.2 | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | Local image operations (continued)  | 
3.5 | ||||
| Wednesday | 
Local image operations (continued) Feature detection  | 
Feature Detection | 4.1.1-4.1.2 | |||
| Friday | 
Feature detection (continued) Edge detection  | 
Edge Detection | 4.2 | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | Edge detection
 (continued)  | 
|||||
| Wednesday | Edge detection
 (continued)  | 
H: homework #2 (Due 9/29/2014)  | 
||||
| Friday | Camera Model | Camera Model | 2.1 | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | 
Camera Model (continued)  | 
P: Programming Assignment #1 (Due 10/20/2014)  | 
||||
| Wednesday | Epipolar geometry | Epipolar Geometry | ||||
| Friday | 
Epipolar geometry (continued)  | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | 
Epipolar geometry (continued)  | |||||
| Wednesday | Kinect case study | Kinect Case Study | ||||
| Friday | 
Correspondence,  calibration, and advanced topics  | 
Correspondence | 
| 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 10/27/2014) P: Programming Assignment #2 (Due 11/10/2014)  | 
||
| Friday | 
Segmentation (continued)  | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | 
Segmentation (continued)  | 
Active Contours | 5.1 | |||
| Wednesday | 
Segmentation (continued)  | 
|||||
| Friday | 
Segmentation (continued)  | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | 
Segmentation (continued)  | 
Segmentation based on Model Fitting | ||||
| Wednesday | 
Segmentation (continued)  | 
|||||
| Friday | 
Segmentation (continued) Case study - Medical image segmentation  | 
Medical Image Segmentation | 5.5.1 | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | Recognition | Recognition | 14.1 | |||
| Wednesday | 
Recognition (Continued)  | 
|||||
| Friday | Recognition - classifiers | Classifiers | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | 
Classifiers (continued)  | 
|||||
| Wednesday | 
Classifiers (continued)  | 
|||||
| Friday | 
Real-time face detection | 
Real-time face detection | 
Study Guide (Word Format)  | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | Real-time face detection (Continued)  | 
14.1 | ||||
| Wednesday | Face recognition | Face recognition | 14.2 | |||
| Friday | Midterm exam review | Midterm Exam Review | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | Midterm exam review (Continued) Questions and answers  | 
|||||
| Wednesday | Midterm Exam | 
M: Take-home exam Due before class on November 24, 2014  | 
||||
| Friday | Midterm Exam (Continued)  | 
No class | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | Tracking | Tracking | Chapter 7 | |||
| Wednesday | Thanksgiving | No Class | ||||
| Friday | Thanksgiving | No Class | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Monday | MonoSLAM | monoSLAM
 (Credit: Arturo Donate)  | 
||||
| Wednesday | Case studies | 
Kinect-Fusion and Extensions
 Gradient-based Learning  | 
||||
| Friday | Summary | 
Neural Image Caption Generator
 Summary  | 
Chapter 15 | 
| Date | Topics | Lecture Notes | Reading | Handout | Papers | Assignments | 
|---|---|---|---|---|---|---|
| Friday | 5:00 PM, December 12, 2014, | Term Project | 
Computer Vision, Last modified Aug., 2014