Difference between revisions of "Accurate AR Marker Location"
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'''Expected outcome:''' | '''Expected outcome:''' | ||
*C++ library to the robust localization of artificial markers | *C++ library to the robust localization of artificial markers | ||
+ | *a ROS node performing accurate ARTag localization | ||
*a comparison of Tags and algorithms in a real world scenario | *a comparison of Tags and algorithms in a real world scenario | ||
*The use of this library in a SLAM framework (Thesis) | *The use of this library in a SLAM framework (Thesis) | ||
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|restopic=none | |restopic=none | ||
|level=Bs;Ms | |level=Bs;Ms | ||
− | |type=Thesis | + | |type=Thesis;Course |
|status=Active | |status=Active | ||
}} | }} |
Latest revision as of 00:30, 22 December 2014
Title: | C++ Library for accurate marker location based on subsequent pnp refinements |
Image:ARTag.jpg |
Description: | ARTags, QR codes, Data Matrix, are visual landmark used for augmented reality, but they could be used for robotics as well. A thesis has already been done on using data matrix for robot localization and mapping, but improvements are required in terms generality, accuracy and robustness of the solution. The goal is thuss to:
Material:
Expected outcome:
Required skills or skills to be acquired:
| |
Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it) | |
Start: | 2015/01/01 | |
Students: | 1 - 2 | |
CFU: | 5 - 10 | |
Research Area: | Computer Vision and Image Analysis | |
Research Topic: | none | |
Level: | Bs, Ms | |
Type: | Thesis, Course | |
Status: | Active |