| 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