Papers by Bernhard Eberhardt
Unsupervised and Generic Short-Term Anticipation of Human Body Motions
Sensors
Various neural network based methods are capable of anticipating human body motions from data for... more Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and explainability of the network and its results. We propose to use Dynamic Mode Decomposition with delays to represent and anticipate human body motions. Exploring the influence of the number of delays on the reconstruction and prediction of various motion classes, we show that the anticipation errors in our results are comparable to or even better for very short anticipation times (<0.4 s) than a recurrent neural network based method. We perceive our method as a first step towards the interpretability of the results by representing human body motions as linear combinations of previous states and delays. In addition, compared to the neural network based methods large training times are not needed. Actually, our methods do not even regress to any other motions than the one to be anticipated and hence it is of a...
Consistent shepard interpolation for SPH-based fluid animation
ACM Transactions on Graphics
Using Chromaticity Error Minimisation for Fast Camera Spectral Responsivity Measurement
Color and Imaging Conference
Cloth Animation Retrieval Using a Motion-Shape Signature
IEEE computer graphics and applications
In cloth simulation, the behavior of textiles largely depends on initial conditions, parameters, ... more In cloth simulation, the behavior of textiles largely depends on initial conditions, parameters, and simulation techniques. Usually, several combinations of those aspects are altered until a simulation setting is found to create a satisfying animation. However, if an initial condition, such as a collision object, is changed afterward or the cloth behavior is transferred to a different scene, the existing set of simulation parameters could no longer be suitable for the desired look. In this case, it is difficult to find a new configuration by changing parameters manually and to determine if it conforms the desired properties. This article introduces a feature vector that is used as a motion-shape signature to capture the spatiotemporal shape characteristics of cloth and can be applied as a similarity measure for physics-based cloth animations.
A Phase-coded Aperture Camera with Programmable Optics
Electronic Imaging
Boundary Handling at Cloth-Fluid Contact
Computer Graphics Forum
The Art of Knitted Fabrics, Realistic & Physically Based Modelling of Knitted Patterns
Cgf, 1998
Gamut Mapping for Digital Cinema
SMPTE 2013 Annual Technical Conference & Exhibition, 2013
Collision adaptive particle systems
Proceedings the Eighth Pacific Conference on Computer Graphics and Applications, 2000
Operator matrices as generators of semigroups
Cloth Animation and Rendering -- Eurographics 2002 Tutorial Notes
A volumetric appearance model
Implicit-Explicit Schemes for Fast Animation with Particle Systems
Eurographics, 2000
An Information Retrieval System for Motion Capture Data
Lecture Notes in Computer Science, 2006
Creating cinematic wide gamut HDR-video for the evaluation of tone mapping operators and HDR-displays
Digital Photography X, 2014
Distributed VFX Architecture for SPH Simulation
Modeling the draping behavior of woven cloth
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Papers by Bernhard Eberhardt