Dr. Christian Richardt
I am a Lecturer (=Assistant Professor) in the Visual Computing Group and MARVEL Lab at the University of Bath. My research interests cover the fields of image processing, computer graphics and computer vision, with a focus on video processing for 360 degree videos, light fields, and for user-centric applications.
I am also interested in stereoscopic vision and graphics, computational photography and non-photorealistic rendering (NPR). In my work, I also often build on insights from human visual perception and use techniques from multi-view geometry. I furthermore enjoy teaching, mentoring and supervising student projects – many of which have received project prizes at Cambridge.
I was previously a postdoctoral researcher working on user-centric video processing and motion capture with Christian Theobalt at the Intel Visual Computing Institute at Saarland University and also in the Graphics, Vision and Video group at Max-Planck-Institut für Informatik in Saarbrücken, Germany. Previously, I was a postdoc in the REVES team at Inria Sophia Antipolis, France, working with George Drettakis and Adrien Bousseau, and I interned with Alexander Sorkine-Hornung at Disney Research Zurich where I worked on Megastereo panoramas.
I graduated with a PhD and BA from the University of Cambridge in 2012 and 2007, respectively. My PhD in the Computer Laboratory’s Rainbow Group was supervised by Neil Dodgson. My doctoral research investigated the full life cycle of videos with depth (RGBZ videos): from their acquisition, via filtering and processing, to the evaluation of stereoscopic display.
I am looking for students!
Are you interested in visual computing, computer graphics, computational photography or video processing? I am looking for motivated students at all levels, from Bachelor’s, Master’s to PhD level. Please contact me if you are interested.
- March 2018
I will be co-presenting a full-day tutorial on Cutting-edge VR/AR Display Technologies at IEEE VR 2018 in Reutlingen, Germany.
Also at IEEE VR, we will present our IEEE TVCG paper “Parallax360: Stereoscopic 360° Scene Representation for Head-Motion Parallax”.
- February 2018
- Two papers (1703.10956 and 1801.01075) accepted to CVPR 2018 in Salt Lake City, USA.
- December 2017
- Our paper “Parallax360: Stereoscopic 360° Scene Representation for Head-Motion Parallax” will appear in IEEE TVCG and will be presented at IEEE VR 2018 in Reutlingen, Germany.
- November 2017
- Our egocentric motion-capture approach “EgoCap” won the Best Poster Award at Motion in Games 2017.
- October 2017
- Abhi and Gereon presented our work on live user-guided intrinsic video decomposition at ISMAR 2017.
- August 2017
- I co-organised a course at SIGGRAPH 2017 on Video for Virtual Reality, which covers the technical foundations, current systems in practice, and the potential for future systems of VR video.
- July 2017
- Our work on live user-guided intrinsic video decomposition has been accepted at ISMAR 2017 and in IEEE TVCG, and our work on combining predictors at test time has been accepted at ICCV 2017.
- December 2016
- We presented our new egocentric motion-capture approach “EgoCap” at SIGGRAPH Asia 2016 in Macao.
- October 2016
- We presented three papers at 3DV: video depth-from-defocus, handheld wide-baseline scene flow (oral) and real-time halfway-domain scene flow.
- September 2016
- We will present our egocentric motion-capture approach “EgoCap” at SIGGRAPH Asia 2016 and already gave a sneak peek at EPIC@ECCV2016.
- August 2016
- I started a new position as Lecturer (=Assistant Professor) at University of Bath.
- July 2016
- We presented paper on Live Intrinsic Video at SIGGRAPH 2016 in Anaheim.
Helge Rhodin, Christian Richardt, Dan Casas, Eldar Insafutdinov, Mohammad Shafiei, Hans-Peter Seidel, Bernt Schiele and Christian Theobalt
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2016)
Helge Rhodin, Nadia Robertini, Dan Casas, Christian Richardt, Hans-Peter Seidel and Christian Theobalt
European Conference on Computer Vision 2016 (spotlight presentation, 2.9% acceptance rate)