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Student Assistant for The Automation of An Existing
vor 4 Monaten
The Competence Center of Cultural Heritage Digitization at Fraunhofer IGD develops and automates 3D scanning technologies with a special focus on image-based 3D reconstruction. To enable the reconstruction of large numbers of objects, a set of automated workflows for 3D reconstruction has been developed. These build on existing software (e.g. Agisoft Metashape) to deliver high quality models and have been extended to allow a fully automated pipeline from images to a final model.
**What you will do**
The main task is to extend the current workflows for automated 3D reconstruction to be applicable to new hardware setups and use cases. Furthermore, the existing workflows should be adapted to run inside a Docker container and on a compute cluster. Another possible task would include the integration of additional 3D reconstruction software into the existing automated pipeline.
**What you bring to the table**
- Very good Python skills, C++ is advantageous
- Proficient English skills
- Experience with Docker and Slurm
- Precise, responsible, independent worker
- Experience with UNIX-based systems is an advantage
**What you can expect**
We offer an introduction into our processing workflows, which generate high quality 3D models from acquired data, plus hands-on experience with state-of-the-art 3D digitization technologies. After an initial state-of-the-art research followed by a practical implementation phase this topic can be extended to a B.Sc. or M.Sc. thesis.
The weekly working time is 10-20 hours. The position is initially limited to three months, an extension is intended.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Fraunhofer Institute for Computer Graphics Research IGD
Requisition Number: 70227 Application Deadline: 01/31/2024
