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We extract feature points between two similar images and match them, followed by overlaying them together based on the matched points in the bottom row.
Thanks to rapid advances of digital camera and various image processing tools, we can easily create new pictures, images, and videos for various purposes. This in turn results in a huge amount of images in the internet and even in personal computers. For example, flickr, an image hosting website, contains more than five billion images and flickr members update more than three thousands image every minute.
These huge image databases pose numerous technical challenges in terms of image processing, searching, storing, etc. In this class we will discuss various scalable techniques for web-scale image/video databases and novel applications that can utilize such data.
In summary, what you will get at the end of the course:
What you will do:
| # of lecture, date | Topics and slides | Related material(s) |
|
A photo at the end of the class. | |
| Sep-1 (Th) | Overview on the course and course policy | |
| Sep-6 (T) Sep-8 (Th) | Keypoint localization |
Code of Harris detector |
| Sep-13 (T) | Intro to Object Recognition | |
| Sep-15 (Th) | No class due to Chuseok Holiday | |
| Sep-20 (T) Sep-22 (Th) | Bag-of-Words (BoW) Models for Local Descriptors | Programming Assignment2 |
| Sep-27 (T) Oct-29 (Th) | Basic Classification and Learning Methods |
Programming Assignment3 |
| Oct-4 (T) Oct-6 (Th) | Image Search with Deep Learning | Spatial Localization and Detection |
|
Oct-11 (T) Oct-13 (Th) | No class due to the conference attendance | |
|
Oct-18 (T) | Hashing Techniques |
|
|
Oct-20 (Th) | No calss (midterm week) |
|
|
Oct-25 (T) | Mid-term exam | |
|
Oct-27 (Th) | 조재형 강민구 | |
|
Nov-1 (T) | 권영기 안인규 Kent Sommer | |
|
Nov-3 (Th) | 강민철 주세현 | |
|
Nov-8 (Th) | 박중언 임우빈 하태욱 | |
|
Nov-10 (Th) | Midterm presentation: 1. Kent Sommer 2. 강민구 3. 박중언 4. 임우빈 |
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Nov-15 (T) | Midterm presentation: 1. 하태욱, 주세현 2. 조재형, 강민철 3. 안인규, 권영기 |
|
|
Nov-17 (Th) | No class due to the invided talk at KSA | |
|
Nov-22 (T) | 조재형 박중언 | |
|
Nov-24 (Th) | 권영기 강민철 | |
|
Nov-29 (T) | 강민구 주세현 | |
|
Dec-1 (Th) | 임우빈 Kent Sommer | |
|
Dec-6 (T) | 하태욱 안인규 | |
|
Dec-8 (Th) | No class | |
|
Dec-13 (T) | Final presentation: 1. Kent Sommer 2. 강민구 3. 박중언 4. 임우빈 |
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Dec-15 (Th) | Final presentation: 1. 하태욱, 주세현 2. 조재형, 강민철 3. 안인규, 권영기 |
For your presentations, please use the this powerpoint template; paper presentation guideline is available.
For your final report, please use the this latex template
Computer vision resources (papers, videos, code, datasets, etc.):
Paper search:
Acknowledgements:
The course materials are based on those of Prof. Fei-Fei Li, Stanford.
Thank you so much!
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