Research
For a full publication list, see my Google Scholar profile. Representative papers are highlighted.
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Matérn Kernels for Tunable Implicit Surface Reconstruction [arXiv] [code]
Maximilian Weiherer,
Bernhard Egger
arXiv, 2024
We use and theoretically analyze the family of Matérn kernels for tunable implicit surface reconstruction, demonstrating that they outperform recently employed arc-cosine kernels.
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Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging [arXiv] [project page]
Mert Özer*,
Maximilian Weiherer*,
Martin Hundhausen,
Bernhard Egger
European Conference on Computer Vision Workshops (ECCVW), 2024
We systematically compare and analyze four different strategies of how to incorporate multi-modality into neural scene representations, focusing on thermal imaging.
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Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo [pdf] [arXiv]
Maximilian Weiherer,
Finn Klein,
Bernhard Egger
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
We introduce a new method to compare SSMs by computing approximate intersections and set-theoretic differences between the allowable shape domains spanned by the models.
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Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans [pdf] [arXiv] [model]
Maximilian Weiherer,
Andreas Eigenberger,
Bernhard Egger,
Vanessa Brebant,
Lukas Prantl,
Christoph Palm
The Visual Computer (Vis. Comput.) 39, 2023
We present the first publicly available 3D statistical shape model of the female breast.
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Optically tracked and 3D printed haptic phantom hand for surgical training system [pdf]
Johannes Maier,
Maximilian Weiherer,
Michaela Huber,
Christoph Palm
Quantitative Imaging in Medicine and Surgery (QIMS) 10, 2020
Improved previously developed metamaterials to imitate human soft tissue and presented an optically tracked 3D printed phantom of the whole hand.
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Retrospective Color Shading Correction for Endoscopic Images [pdf]
Maximilian Weiherer,
Martin Zorn,
Thomas Wittenberg,
Christoph Palm
Bildverarbeitung für die Medizin (BVM), 2020
Extending the retrospective shading correction method based on signal envelope estimation to color images using principal color components.
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Imitating human soft tissue on basis of a dual-material 3D print using a support-filled metamaterial to provide bimanual haptic for a hand surgery training system [pdf]
Johannes Maier,
Maximilian Weiherer,
Michaela Huber,
Christoph Palm
Quantitative Imaging in Medicine and Surgery (QIMS) 9, 2019
We propose new 3D-printable support-filled metamaterials to imitate human soft tissue.
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Stitching Pathological Tissue Images using DOP Feature Tracking [pdf]
Matthias Bergler,
Maximilian Weiherer,
Tobias Bergen,
Malte Avenhaus,
David Rauber,
Thomas Wittenberg,
Christian Münzenmayer,
Michaela Benz
Bildverarbeitung für die Medizin (BVM), 2018
Using the difference of two elliptical paraboloids as approximation of the Laplacian of Gaussian, we enable real-time image stitching of microscopic images.
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From Zero to Hero: Convincing with Extremely Complicated Math [pdf] [arXiv] [code]
Maximilian Weiherer,
Bernhard Egger
Special Interest Group on Harry Quechua Bovik (SIGBOVIK), 2023
We present zero2hero, an innovative system that automatically extracts embarrassingly simple equations from a given Latex document and makes them look extremely complex.
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A Free Computer Vision Lesson for Car Manufacturers or It is Time to Retire the Erlkönig [pdf]
Maximilian Weiherer,
Bernhard Egger
Special Interest Group on Harry Quechua Bovik (SIGBOVIK), 2022
We blame car manufacturers by showing that camouflaged cars (a.k.a. Erlkönige) can be better 3D reconstructed than its uncovered counterparts (without disturbing patterns).
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This template was once created by Jon Barron an can now be stolen from here.
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