Computer Vision Lab
The course will start with an info event where the organization of the course will be presented in details. All the students interested in this
course should therefore attend the info event.
NEWS: First tutorial: THURSDAY, SEPTEMBER 26, 10:15h (sharp), CNB G 110.
Course Description
The goal of this course is to learn to develop a computer vision system and to gain hands-on-experience.
This year's course is focused on mobile computer vision on Android devices.
Small teams of students (preferably two)
will work on a common project throughout the semester in order to develop a computer vision application.
Special attention will be put on technical aspects of computer vision such as 3D reconstruction, camera calibration,
feature detection, tracking, virtual reality and their implementation on mobile devices.
While previous experience with Android is not required,
at least basic experience with computer vision is mandatory. An introductory tutorial will
facilitate the first steps into Android programming.
Prerequisite classes
- Good programming skills
- Mandatory: Visual Computing or equivalent (introduction to computer vision required).
The lecture has to be completed (not in parallel to the course).
- Advised: Computer Vision, 3D Photography, Computer Graphics or similar classes.
Course Outline
During this course students need to participate in tutorial sessions. The main focus is to carry out a project. At the beginning of the course one or two tutorials will be held. Each student will get assigned one topic (and a teammate) and is expected to work constantly over the whole semester towards the goal of his project.
The work should be conducted at home but the experimental lab in CNB D 102.1 could also be used if needed.
Grading will be based on the mid-term and final presentations. The mid-term presentation will account for 25% of the final grade, while 75% will be attributed to the final presentation (including implementation, demo and written report).
Schedule
| September 20, 2013 | Information Event and Introduction |
| September 26, 2013 | Android SDK/NDK, OpenCV Basics (SLIDE DOWNLOAD) |
| October 3, 2013 | Working plan due |
| November 14, 2013 | Mid-Term Presentation |
| December 19, 2013 | Final Presentation |
Templates
- Working plan (by October 4, 2013) [doc] [odt]
Student Projects
We encourage students to propose their own ideas, and projects should focus on computer vision on mobile devices. Here are possible directions, more details will be given in the class:
- Augmented Reality
- 3D Reconstruction
- Face Tracking/Reconstruction
- Computational Photography
- Kinect on Mobile Phones
- Image-based Localization
Links
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