Difference between revisions of "Accurate AR Marker Location"
From AIRWiki
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{{ProjectProposal | {{ProjectProposal | ||
|title=C++ Library for accurate marker location based on subsequent pnp refinements | |title=C++ Library for accurate marker location based on subsequent pnp refinements | ||
| − | |image= | + | |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: | |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: | ||
*increase the number of markers supported by the system (ARTag + QR codes) | *increase the number of markers supported by the system (ARTag + QR codes) | ||
| Line 27: | Line 27: | ||
|cfumin=10 | |cfumin=10 | ||
|cfumax=20 | |cfumax=20 | ||
| − | |resarea=Computer Vision | + | |resarea=Computer Vision and Image Analysis |
|restopic=none | |restopic=none | ||
|level=Bs;Ms | |level=Bs;Ms | ||
Revision as of 09:19, 16 April 2012
| 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: | 2012/04/01 | |
| Students: | 1 - 2 | |
| CFU: | 10 - 20 | |
| Research Area: | Computer Vision and Image Analysis | |
| Research Topic: | none | |
| Level: | Bs, Ms | |
| Type: | Thesis | |
| Status: | Active |
