Generalized Image Acquisition and Analysis
Performance Capture of High-Speed Motion Using Staggered Multi-View Recording
We present a markerless performance capture system that can acquire the motion and the texture of human actors
performing fast movements using only commodity hardware. To this end we introduce two novel concepts: First, a
staggered surround multi-view recording setup that enables us to perform model-based motion capture on motion-blurred
images, and second, a model-based deblurring algorithm which is able to handle disocclusion, self-occlusion and
complex object motions. We show that the model-based approach is not only a powerful strategy for tracking but also for
deblurring highly complex blur patterns.
Projects
Property and Lighting Manipulations for Static Volume Stylization Using a Painting Metaphor
TVCG 2014
Abstract
Although volumetric phenomena are important for realistic
rendering and can even be a crucial component in the image,
the artistic control of the volume’s appearance is
challenging. Appropriate tools to edit volume properties are
missing, which can make it necessary to use simulation
results directly. Alternatively, high-level modifications
that are rarely intuitive, e.g., the tweaking of noise
function parameters, can be utilized.
Our work introduces a solution to stylize single-scattering
volumetric effects in static volumes. Hereby, an artistic
and intuitive control of emission, scattering and extinction
becomes possible, while ensuring a smooth and coherent
appearance when changing the viewpoint. Our method is based
on tomographic reconstruction, which we link to the
volumetric rendering equation. It analyzes a number of
target views provided by the artist and adapts the volume
properties to match the appearance for the given
perspectives. Additionally, we describe how we can optimize
for the environmental lighting to match a desired scene
appearance, while keeping volume properties
constant. Finally, both techniques can be combined. We
demonstrate several use cases of our approach and illustrate
its effectiveness.
Video Bibtex
@article{Klehm:14,
author = {Oliver Klehm and Ivo Ihrke and Hans-Peter Seidel and Elmar Eisemann},
title = {Property and Lighting Manipulations for Static Volume Stylization Using a Painting Metaphor},
journal = {Transactions of Visualization and Computer Graphics},
year = 2014,
pages = {xx--yy},
}
author = {Oliver Klehm and Ivo Ihrke and Hans-Peter Seidel and Elmar Eisemann},
title = {Property and Lighting Manipulations for Static Volume Stylization Using a Painting Metaphor},
journal = {Transactions of Visualization and Computer Graphics},
year = 2014,
pages = {xx--yy},
}