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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 * Realtime stream reading with VICON SDK* Custom 6-DOF tracking with VICON 3D Points and comparison with VICON 6-DOF tracking* Realtime stream reading without VICON SDK* Manual annotation of difficulty ==custom frames * Creating 2D-3D annotation datasets with manual annotation or vicon positions.* Stereo triangulation
If you have an estimate, classify level of difficulty according tothe 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.== Test Data ==
== Provided data ==PigeonPostureDataset
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.StarlingDataset
<strong>Note:</strong> Once the CCU server is up and running, datasets should be stored there for easy availability. See the howtos on storage for details.PigeonGazeDataset
== Suggested/tested approaches ==These projects will be presented in complete form at the end of the project.
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.* Adding External camera calibration [ Showing hardware integrations ]* AR visualization of 3D movement [ Showing Interactive vislualization capabilities]* Interactive drone flight and recording data from area of interest interactively [ Showing real-time control and optimized data capturing ]* Live tracking of posture [ Showing ML capabilities] *
→Contact
Closely related to [[Projects:Improve tracking of individual markers and marker patterns]] and [[Projects:Augment marker tracking with visual tracking]].
Details:[[file:Cluster-Medium-Project-Grant_HemalNaik.pdf]]
== Contact ==
* [[Hemal Naik]], hnaik@ab.mpg.de* [[Mathias Günther (long term support), mathias.guenther@uni-konstanz.de]]
== Collaborators ==
== Aims ==
The main aim of the project is to have a repository with useful code snippets that allow users to quickly use the data generated in the imaging facilities.
The code will ideally work as base code on top of which user can build their own project.
== Key Features ==
* Reading data generated by [[Vicon:Data format documentation|VICON mo-cap]] system in the [[Imaging Barn|Imaging Barn]].
* Augmenting 3D data on videos
* Annotation of keypoints on video
* Verification of 6-DOF patterns
* 6-DOF pose independent of VICON system
* Stereo triangulation of points from video
* 3D-Transformations in different coordinate systems
* Reading data stream over network for real-time experiments [https://www.vicon.com/software/datastream-sdk/ [Info<nowiki>]</nowiki>]
'' Note : The features are in constant development and the page is updated every month ''
== Milestones ==
The first soft-release with example code is planned on 22 Dec. It will be done during the presentation with researchers from the cluster.
Ideally, we will introduce basic repository with preliminary functionalities that can be utilized immediately.
== Example code ==
The sample datasets will be available soon for trying out different stuff.
== Example Projects ==
