Recovering geometry information from multiple photos of an object is still a challenging task. Recently, many radiance field based approaches [1] have been published, showing a huge potential of this technology for future VR, AR and 3D compositing applications.
To advance our research in this domain, we are looking for you to help us in evaluating the most promising approaches for geometry reconstruction from multiple images.
For more information about our research, please refer to https://www... [Vollständig anzeigen] and to https://www... [Vollständig anzeigen] .
You are interested in 3D reconstruction and would like to develop further in the field of multi-view image processing?
What you will do
- Using existing source code, you run state-of-the-art 3D reconstruction algorithms on datasets of various scenes and objects
- You evaluate the results using objective quality metrics
- You compare various approaches in terms of processing time, memory consumption and achievable quality
What you bring to the table
- You are currently studying electronics engineering, computer science, information and communication technologies or a related field
- You have experience in the Python programming language
- You have experience with frameworks such as TensorFlow or PyTorch
- You have good knowledge in the area of multi-view image processing
What you can expect
- An interesting application-oriented field of research with innovative projects and a state-of-the-art laboratory environment
- Extensive professional support from scientific mentors
- Flexible hours that allow you to balance your studies and on-the-job experience
- An open and friendly work environment
- Sufficient opportunity to develop your interests and skills
Weekly working hours are determined by agreement. You can reduce your hours before exams and increase them during semester breaks. For efficient communication and supervision, the work will be done in presence. You can flexibly determine the working days. After your studies, you have the option of working with us full or part time.
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity.
Interested?
Apply online now (PDF: cover letter, CV, transcripts).
We look forward to getting to know you!