Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revision | Next revisionBoth sides next revision | ||
jobs [2015/03/12 09:28] – [Theses and Jobs] jworch | jobs [2015/03/19 12:25] – [Theses and Jobs] balintbe | ||
---|---|---|---|
Line 116: | Line 116: | ||
Contact: [[team: | Contact: [[team: | ||
+ | |||
+ | == Automated sensor calibration toolkit (MA)== | ||
+ | |||
+ | Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information of the surrounding world. Each camera is different, even if they are from the same production line. For computer vision, especially for robots manipulating their environment, | ||
+ | |||
+ | The topic for this master thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
+ | |||
+ | The system should be: | ||
+ | * independent of the camera type | ||
+ | * estimate intrinsics and extrinsics | ||
+ | * have depth calibration (case of RGBD) | ||
+ | * integrate capabilities from Halcon [1] | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in Python and C/C++ | ||
+ | * ROS, OpenCV | ||
+ | |||
+ | [1] http:// | ||
+ | |||
+ | Contact: [[team: |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
Memberships and associations: