Generalized Image Acquisition and Analysis
Intrinsic Shape Matching by Planned Landmark Sampling
Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have been particularly successful due to their generality and efficiency. We introduce a new sampling-based shape matching algorithm that uses a planning step to find optimized "landmark" points. These points are matched first in order to maximize the information gained and thus minimize the sampling costs. Our approach makes three main contributions: First, the new technique leads to a significant improvement in performance, which we demonstrate on a number of benchmark scenarios. Second, our technique does not require any keypoint detection. This is often a significant limitation for models that do not show sufficient surface features. Third, we examine the actual numerical degrees of freedom of the matching problem for a given piece of geometry. In contrast to previous results, our estimates take into account unprecise geodesics and potentially numerically unfavorable geometry of general topology, giving a more realistic complexity estimate.
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},
}