Changes

Jump to navigation Jump to search
no edit summary
== Overview ==
* Input : Size The Vicon Nexus software automatically identifies patterns of Marker, Dimension markers within the 3D point cloud of base plate (widthmarker positions which is being tracked. To distinguish individuals, height), Min distance between points* Output: Maximum it is necessary to give a 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 pattern to each individual patterns. Simulation of , which the data software can be done using 1 or 2 virtual camerasreliably detect and tell apart from the others. * Extension: Use VICON calibration The key goal of this project is to establish an automated process to actually create a full 36 camera setup, simulate performance generate optimal versions of these designs in terms of expected detection accuracy and performance in patterns for different areas types of the barnexperiments.* Based on given pattern design, produce precise tags using CNC or laser cutting or 3D printing, etc.
== Contact ==
Add name of and preferred method how to contact the main PI (i* Mate Nagy, mnagy@orn.e. you)mpg.de
== Aims ==
List * Generate unique patterns which can be optimally tracked and distinguished given the aims input design criteria (e.g. maximum number of your projectmarkers, marker size, or dimension of base plate, minimum distance between points).* In particular, controlled experiments need to be performed to find out what you expect anyone taking up works well for the project Vicon software systems, and what is supposed required of a pattern for tracking to hopefully achievework well. The more specific* 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 betterbarn.* To reduce amount of manual work, it would be desirable to automatically produce precise tags (using CNC, laser cutting, 3D printing ...) based on a given pattern design
* 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 See [[Vicon: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 informationdocumentation]].
<strong>Note:</strong> Once the CCU server is up This project requires a lot of experimentation with different marker setups and runninga number of controlled experiments, datasets should which need to be stored there for easy availability. See the howtos on storage for detailsdesigned by whoever attacks it.
== Suggested/tested approaches ==
If you have an idea about how to approach Estimate 2D invariant values for various designs using theory of cross ratios and suggest creating individual patterns. Simulation of 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 data can be done using 1 or algorithm2 virtual cameras.

Navigation menu