Organizer | Dipl.-Inf. Philipp Heise, Dipl.-Inf. Brian Jensen |
Module | IN2106 |
Type | Masterpraktikum |
Semester | SS 2014 |
ECTS | 10.0 |
SWS | 6 |
Time & Location | To be determined |
Preliminary Talk / Vorbesprechung | Wednesday, 29.01.2014 at 13:30 in room 03.07.023 |
Certificate | successful completion of all exercises |
Registration | By email to one of the organizers. Confirmation via TUMonline |
Course Materials
Date | Due | Topics | Slides | Assignment Sheet |
08.04.2014 | 24.04.2014 | Harris Corner Detection and ROS familiarization |
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24.04.2014 | 06.05.2014 | Feature descriptors and matching, ROC Challenge |
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06.05.2014 | 27.05.2014 | Stereo Visual Odometry |
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27.05.2014 | 12.06.2014 | Dense Stereo Matching |
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12.06.2014 | 08.07.2014 | Final Projects | - |
Final Projects
Team | Project | Proposal | Final |
Bug Busters | Freespace, Ground-plane estimation and IPM |
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Lenna | Object detection and
pose estimation using Features and PnP |
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Triforce | Ferns for traffic sign detection |
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Visionaries | Feature based Template Tracking |
ROC Challenge Results
Team | Challenge Dataset results |
Overall | ![]() |
Bug Busters | ![]() |
Lenna | ![]() |
Triforce | ![]() |
Visionaries | ![]() |
Schedule
Description
This lab course will cover various interesting topics of Computer Vision useful for Robotic applications. The participants will start by implementing some fundamental computer vision algorithms. These basic components will be iteratively expanded as the course progresses resulting in the creation of a full featured visual processing pipeline that in turn can be used to solve complex robotic tasks, in particular SLAM. Participants will then select a specific project from a range of final project topics to further expand their skills and knowledge in desired area of computer vision as the completion of this course.
Selection of possibly covered Topics
- Robot Operating System
- Feature Detectors and Descriptors
- Feature Matching and Tracking
- Visual Odometry
- VSLAM
- RGBD-Sensors
- Binocular Stereo
General Information
- The course will be held in English language. The materials will also be in English.
- The number of possible participants is 15.
- The course will be likely be divided into two parts: regular exercise sheets in the first part and a final project in the second part
- Requirements: Working knowledge in C++, basic knowledge in Computer Vision
- See the course materials from the previous semester for an idea about the structure of the course.