Search Results for author: Markus Seidl

Found 5 papers, 0 papers with code

Cross-codex Learning for Reliable Scribe Identification in Medieval Manuscripts

no code implementations7 Dec 2023 Julius Weißmann, Markus Seidl, Anya Dietrich, Martin Haltrich

We demonstrate for the first time on a dataset with such a variety of codices that paleographic decisions can be reproduced automatically and precisely with CNNs.

A Study on Topological Descriptors for the Analysis of 3D Surface Texture

no code implementations29 Oct 2017 Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl

Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks.

General Classification

PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation

no code implementations6 Oct 2016 Georg Poier, Markus Seidl, Matthias Zeppelzauer, Christian Reinbacher, Martin Schaich, Giovanna Bellandi, Alberto Marretta, Horst Bischof

The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains.

Interactive Segmentation Segmentation +1

Topological descriptors for 3D surface analysis

no code implementations22 Jan 2016 Matthias Zeppelzauer, Bartosz Zieliński, Mateusz Juda, Markus Seidl

We investigate topological descriptors for 3D surface analysis, i. e. the classification of surfaces according to their geometric fine structure.

Classification General Classification

Efficient Image-Space Extraction and Representation of 3D Surface Topography

no code implementations30 Apr 2015 Matthias Zeppelzauer, Markus Seidl

Surface topography refers to the geometric micro-structure of a surface and defines its tactile characteristics (typically in the sub-millimeter range).

3D Reconstruction Classification +1

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