Master Thesis - Low-Cost 3D Motion Capturing System
Master Thesis - Low-Cost 3D Motion Capturing System
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Problem statement
A motion capturing system records the movement of an object or person. For example in filmmaking they are often used to record the movement of a person and apply them to computer generated models.
For our sensor development it would be beneficial to have a camerabased system available as reference for object rotation and localization.
Proposed solution
A very simple realization would be a cube which shows a QR code on all sides and several cameras recording this scene from different angles. Using a feature detection over all different video streams it should then be possible to calculate the rotation and the location of that cube within the observed 3D space.
We propose the following topics to be covered in the thesis:
* Set up a scene with different cameras
* Build a cube and do movements within the scene
* Record the video from the different locations
* Localize the QR Codes within the video stream
* Calculate the location and rotation of the cube according the detected QR code locations
* Visualize a 3D result of the detected cube
* Eventually use active cameras doing the precalculation inside e.g. with cameras with integrated Raspberry PI
* Discuss the theoretical limitations for accuracy and speed
You will of course have the opportunity to shape the thesis based on your knowledge skills and discoveries during the project.
Scope of master thesis project
Two students completing 30 credits each (20 weeks) onsite at the Lund office
Please note: Only applications from students at a Swedish University are accepted.
Qualifications :
Your profile
In order to be successful in the project with think you are:
* A student in Information Technology Computer Science Electronics Maths or Physics.
* Required knowledge / courses on data science and image processing.
* Interested in algorithm development and have some signal processing experience with machine learning knowledge.
* Experienced with or have at least some knowledge of programming in Python and/or C.
* Selfdriven ability to challenge yourself and gain the experience needed to move the project forward.
* A person with team spirit social skills and a curiosity for exploring new technology areas.
Supervisors:
Bosch: Stefan Noll
Additional Information :
Why choose Bosch:
In 2022 for the third year in a row Bosch have received the Worlds Best Employer award from Forbes/Statista ranking us among the top 3% of the worlds most attractive employers.
Diversity is our strength! At Bosch we look at diversity in gender generation nationalities and culture as our advantage. We believe mixed teams to be more successful because they utilize the potential offered by different perspectives and solution strategies. We therefore promote mixed teams at all levels and draw on the entire talent pool.
Remote Work :
No
Employment Type :
Contract
Employment Type
Contract
