64-861-P1 Project Computer Vision (Part 1)

Course offering details
Close 

Instructors: Ge Gao; Dr. Mikko Lauri

Event type: Project

Displayed in timetable as: MProj - CV

Hours per week: 4

Language of instruction: English

Min. | Max. participants: - | 15

Comments/contents:
The project deals with computer vision methods for mobile systems, especially for autonomous mobile robots. Potential topics can be related, e.g., to active perception, object pose estimation, semantic segmentation, object detection, and deep learning methods applied to 3D data (point clouds).
The project provides practical hands-on knowledge of applied computer vision systems, and experience in managing and working in a project team.

The course is split over two semesters. The second semester also includes a seminar.

Didactic concept:
The project language will be English. Programming will be done primarily using Python and C++. Additionally, frameworks such as TensorFlow, OpenCV, and ROS can be applied. A good command of object oriented programming is mandatory. Background information in computer vision is very helpful. Knowledge of the aforementioned tools and frameworks is helpful.

Appointments
Date From To Room Instructors
1 Th, 17. Oct. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
2 Th, 24. Oct. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
3 Th, 7. Nov. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
4 Th, 14. Nov. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
5 Th, 21. Nov. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
6 Th, 28. Nov. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
7 Th, 5. Dec. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
8 Th, 12. Dec. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
9 Th, 19. Dec. 2019 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
10 Th, 9. Jan. 2020 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
11 Th, 16. Jan. 2020 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
12 Th, 23. Jan. 2020 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
13 Th, 30. Jan. 2020 14:00 17:00 R-031 Ge Gao; Dr. Mikko Lauri
Exams in context of modules
Module (start semester)/ Course Exam Date Instructors Compulsory pass
Class session overview
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
Instructors
Ge Gao
Dr. Mikko Lauri