activity
20172023
most citedA method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness

62 citations · 106 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2023

Neural Volumetric Blendshapes: Computationally Efficient Physics-Based Facial Blendshapes

Nicolas Wagner, Ulrich Schwanecke, Mario Botsch

Computationally weak systems and demanding graphical applications are still mostly dependent on linear blendshapes for facial animations. The accompanying artifacts such as self-in…

cs.LG2019

Non-Negative Kernel Sparse Coding for the Classification of Motion Data

Babak Hosseini, Felix Hülsmann, Mario Botsch +1

We are interested in the decomposition of motion data into a sparse linear combination of base functions which enable efficient data processing. We combine two prominent frameworks…

cs.CV2018★ 62 cited

A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness

Thomas Gietzen, Robert Brylka, Jascha Achenbach +5

In this paper, we present a method for automated estimation of a human face given a skull remain. The proposed method is based on three statistical models. A volumetric (tetrahedra…

math.NA2018★ 42 cited

Poly-Spline Finite Element Method

Teseo Schneider, Jeremie Dumas, Xifeng Gao +3

We introduce an integrated meshing and finite element method pipeline enabling black-box solution of partial differential equations in the volume enclosed by a boundary representat…

cs.AI2017★ 2 cited

Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality

Felix Hülsmann, Stefan Kopp, Mario Botsch

In the context of fitness coaching or for rehabilitation purposes, the motor actions of a human participant must be observed and analyzed for errors in order to provide effective f…