C
Christian Theobalt
Researcher at Max Planck Society
Publications - 508
Citations - 34680
Christian Theobalt is an academic researcher from Max Planck Society. The author has contributed to research in topics: Motion capture & Computer science. The author has an hindex of 89, co-authored 450 publications receiving 25487 citations. Previous affiliations of Christian Theobalt include Stanford University & Facebook.
Papers
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Proceedings ArticleDOI
Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model
TL;DR: In this paper, the authors proposed a new approach that tracks the full skeleton motion of the hand from multiple RGB cameras in real-time, which employs an implicit hand shape representation based on Sum of Anisotropic Gaussians (SAG) and a pose fitting energy that is smooth and analytically differentiable.
Proceedings ArticleDOI
WatchSense: On- and Above-Skin Input Sensing through a Wearable Depth Sensor
TL;DR: WatchSense uses a depth sensor embedded in a wearable device to expand the input space to neighboring areas of skin and the space above it and increases the expressiveness of input by interweaving mid-air and multitouch for several interactive applications.
BookDOI
Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications
TL;DR: In this article, the proceedings of a workshop on Imaging New Modalities, which was held at the German Conference on Pattern Recognition in Saarbrcken, Germany, in September 2013, are presented.
Proceedings ArticleDOI
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
TL;DR: A new neural network that operates on RGB-D frames is proposed that significantly outperforms existing non-rigid reconstruction methods that do not use learned data terms, as well as learning-based approaches that only use self-supervision.
Journal ArticleDOI
Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination
Abhimitra Meka,Christian Häne,Rohit Pandey,Michael Zollhöfer,Sean Fanello,Graham Fyffe,Adarsh Kowdle,Xueming Yu,Jay Busch,Jason Dourgarian,Peter Denny,Sofien Bouaziz,Peter Lincoln,Matt Whalen,Geoff Harvey,Jonathan Taylor,Shahram Izadi,Andrea Tagliasacchi,Paul Debevec,Christian Theobalt,Julien Valentin,Christoph Rhemann +21 more
TL;DR: A novel technique to relight images of human faces by learning a model of facial reflectance from a database of 4D reflectance field data of several subjects in a variety of expressions and viewpoints is presented.