Projects:Automatic generation of optimal marker patterns

From Collective Computational Unit
Revision as of 18:20, 20 May 2019 by Bastian.goldluecke (talk | contribs) (Overview)
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Overview

- Input : Size of Marker, Dimension of base plate (width, height), Min distance between points - Output: Maximum unique 4 points patterns possible with given input criteria. - Method: Estimate 2D Invariant values for various designs using theory of cross ratios and suggest creating individual patterns. Simulation of the data can be done using 1 or 2 virtual cameras. Extension: Use VICON calibration to actually create a full 36 camera setup, simulate performance of these designs in terms of expected detection accuracy and performance in different areas of the barn.

Contact

Add name of and preferred method how to contact the main PI (i.e. you).


Aims

List the aims of your project, or what you expect anyone taking up the project is supposed to hopefully achieve. The more specific, the better.


Estimated level of difficulty

If you have an estimate, classify level of difficulty according to the description of the CCU in the cluster proposal into

  • Standard problems which just require applying existing methods (Hiwi level)
  • Elaborate problems which require substantial adaptation or extension of existing methods (Master student level)
  • Special problems which require research of entirely new methods and might lead to a paper or two (Ph.D. student level)

Maybe add a short clarification of what you believe are the main difficulties, and why you believe this is the right classification.

Provided data

Give a specific description of the datasets you provide or can provide which people need to use to solve your problem. If available and/or necessary, also suggest some means for reading the data format. If you can provide links to the data so people can download an take a look, all the better. Also list any known limitations, whether you can easily acquire/record new data, or any other useful information.

Note: Once the CCU server is up and running, datasets should be stored there for easy availability. See the howtos on storage for details.


Suggested/tested approaches

If you have an idea about how to approach the problem, or have tried something already which did not work well, please provide details here. If available, link some papers or code which might provide a possible solution or algorithm.