In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.
The advent of consumer-grade 3D printing has recently sparked interest in fabrication-aware shape design and optimization. We use techniques from computer graphics and engineering to develop new computational tools to facilitate the design process of physical artifacts.
In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.
Uses concepts from applied mathematics and computer science to design efficient algorithms for the reconstruction, analysis, manipulation, simulation and transmission of complex 3D models. Example applications are collision detection, reconstruction, compression, occlusion-aware surface handling and improved sampling conditions.
|Image||Bib Reference||Publication Type|
|Joao Afonso Cardoso, Nuno Goncalves, Michael Wimmer
Cost Volume Refinement for Depth Prediction
In Proceedings of the 25th International Conference on Pattern Recognition, pages 354-361. January 2021.
|Adam Celarek, Wenzel Jakob, Michael Wimmer, Jaakko Lehtinen
Quantifying the Error of Light Transport Algorithms
Computer Graphics Forum, 38(4):111-121, July 2019. [paper_preprint] [Git repository]
|Journal Paper with Conference Talk|