Staff Dr. Behrend Heeren
Mr. Heeren is now at Nexocraft. This page is no longer maintained.
Contact Information
Teaching
Summer semester 2020
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Hauptseminar Numerik Transportprobleme & Bildsegmentierung
Winter semester 2019/20
Winter semester 2018/19
See teaching activities of the whole group.
Completed Research Projects
4D structural analysis of the sugar beet geometry
Project D4, BMBF competence network.
Three dimensional data is becoming widely available and is required in various applications in science and technology. Developing algorithms for efficiently and robustly analyzing collections of 3D shapes is therefore one of the main problems in geometry processing today. While the problem is widely researched, a thorough understanding of how the space of shapes discretized as triangle meshes should be modeled and treated computationally is still lacking. One of the main challenges is the interplay between the discrete variables representing the triangulation and the continuous variables representing the embedding in three dimensions, which often leads to un-tractable optimization problems. In this proposal we address this challenge by combining recent tools developed for representing correspondences between triangle meshes without explicitly specifying combinatorial changes, with an approach for efficient discrete optimization on the space of shells using geodesic calculus.
The first component allows us to sidestep the explicit representation of the change in the triangulation by using a correspondence between functions spaces defined on the discrete shapes instead of a correspondence between points. Thus, it allows us to represent smooth self-maps as flows of discrete vector fields. The second component allows us to treat discretely various physical energies (such as the elastic energy and bending energy), generating correspondences and new shapes which minimize those energies by computing geodesics on an abstract Riemannian manifold, whose metric is formulated in terms of those energies. Together, the two tools provide a complete description of the shape space of discrete surfaces, allowing us to model both the flow of self-maps of a single surface as well as the flow of deformed surfaces, as geometric problems on an abstract Riemannian manifold with an appropriate metric, which can be addressed using geodesic calculus. This in turn enables us to address computationally previously challenging applications, such as map computation, map improvement, attribute transfer and shape interpolation.
Publications
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Working memory capacity and the functional connectome - insights from resting-state fMRI and voxelwise eigenvector centrality mapping.
S. Markett, M. Reuter, B. Heeren, B. Lachmann, B. Weber, and C. Montag.
Brain Imaging and Behavior, 12(1):238–246, 2018.
BibTeX
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Numerical Methods in Shape Spaces and Optimal Branching Patterns.
B. Heeren.
PhD thesis, University of Bonn, 2016.
BibTeX
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Voxelwise eigenvector centrality mapping of the human functional connectome reveals an influence of the catechol-o-methyltransferase val158met polymorphism on the default mode and somatomotor network.
S. Markett, C. Montag, B. Heeren, R. Sariyska, B. Lachmann, B. Weber, and M. Reuter.
Brain Structure and Function, 221:2755–2765, 2016.
BibTeX
DOI
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Discrete geodesic regression in shape space.
B. Berkels, P. T. Fletcher, B. Heeren, M. Rumpf, and B. Wirth.
In Proc. of International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, volume 8081 of Lecture Notes in Computer Science, 108–122. Springer, 2013.
BibTeX
PDF
DOI
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Geodätische im Raum von Schalenformen.
B. Heeren.
diploma thesis, Institut für Numerische Simulation, Universität Bonn, 2011.
BibTeX
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Working memory capacity and the functional connectome - insights from resting-state fMRI and voxelwise eigenvector centrality mapping. S. Markett, M. Reuter, B. Heeren, B. Lachmann, B. Weber, and C. Montag. Brain Imaging and Behavior, 12(1):238–246, 2018. BibTeX
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Numerical Methods in Shape Spaces and Optimal Branching Patterns. B. Heeren. PhD thesis, University of Bonn, 2016. BibTeX
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Voxelwise eigenvector centrality mapping of the human functional connectome reveals an influence of the catechol-o-methyltransferase val158met polymorphism on the default mode and somatomotor network. S. Markett, C. Montag, B. Heeren, R. Sariyska, B. Lachmann, B. Weber, and M. Reuter. Brain Structure and Function, 221:2755–2765, 2016. BibTeX DOI
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Discrete geodesic regression in shape space. B. Berkels, P. T. Fletcher, B. Heeren, M. Rumpf, and B. Wirth. In Proc. of International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, volume 8081 of Lecture Notes in Computer Science, 108–122. Springer, 2013. BibTeX PDF DOI
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Geodätische im Raum von Schalenformen. B. Heeren. diploma thesis, Institut für Numerische Simulation, Universität Bonn, 2011. BibTeX