Department D4 of the Max Planck Institute for Informatics
During the last three decades computer graphics established itself as a core discipline within computer science and information technology. Ten years ago, most digital content was textual. Today it has expanded to include images, video, and a variety of graphical representations. New and emerging technologies such as multimedia, social networks, digital television, digital photography and the rapid development of new sensing devices, telecommunication and telepresence, virtual reality, or 3D-internet further indicate the potential of computer graphics in the years to come. Typical for the field is the coincidence of very large data sets with the demand for fast, and possibly interactive, high quality visual feedback. Furthermore, the user should be able to interact with the environment in a natural and intuitive way.
In order to address the challenges mentioned above, a new and more integrated scientific view of computer graphics is required. In contrast to the classical approach to computer graphics which takes as input a scene model - consisting of a set of light sources, a set of objects (specified by their shape and material properties), and a camera - and uses simulation to compute an image, we like to take the more integrated view of 3D Image Analysis and Synthesis for our research. We consider the whole pipeline from data acquisition, over data processing to rendering in our work. In our opinion, this point of view is necessary in order to exploit the capabilities and perspectives of modern hardware, both on the input (sensors, scanners, digital photography, digital video) and output (graphics hardware, multiple platforms) side. Moreover, we try to take into account existing digital footage when analyzing and synthesizing novel scene content. In particular, we try to extract powerful priors from the abundance of digital visual data that can then assist us during the acquisition, reconstruction, editing, and image formation processes. Our vision and long term goal is the development of methods and tools to efficiently handle the huge amount of data during the acquisition process, to extract structure and meaning from the abundance of digital data, and to turn this into graphical representations that facilitate further processing, rendering, and interaction.
In order to make progress along the lines above, our work is both theoretical and practical with a focus on first-class research on new methods and algorithms, as well as on the integration of new algorithms into functioning software systems, and the experimental validation of systems in specific application scenarios that are of practical relevance. We also try to provide a stimulating environment for junior researchers that allows them to develop and build their own research programs and groups.
PhD (student) positions / postdoc opportunities
The Images and Geometry group at the computer graphics department is looking for PhD students in the areas of,
- Geometric modelling
- Interactive techniques
- Discrete differential geometry
- Geometry processing applications
Applicants should have a Master degree (or equivalent) in computer science or a related field and show an outstanding academic record. We further expect research experience with or a strong background in computer graphics and image processing. Candidates should have solid programming experience (C++, MATLAB, OpenGL etc.). Finally, we expect the candidates to be fluent in both written and spoken English.
In case you are interested, please submit your CV, the contacts of at least two references and a list of publications via Email to Renjie Chen. The position can be filled immediately, but starting date is flexible.
We also encourage talented researchers who have recently completed their PhD and are looking for postdoc positions in one of the above fields to get in touch with us. Candidates should have a PhD in computer science or a related field and have a high-quality publication record in one of the above fields. Please send your CV, the contacts of at least two academic references and a list of publications via Email to Renjie Chen.