All posts by Simon Brenner

Simon Brenner Publications

Brenner S., Sablatnig R. (2021) Subjective Assessments of Legibility in Ancient Manuscript Images – The SALAMI Dataset. In: Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12667. Springer, Cham. https://doi.org/10.1007/978-3-030-68787-8_5 Brenner S., Sablatnig R., Cappa F., Vetter W., Frühmann B., Schreiner M., Miklas H. “Virtual Conservation and Restoration … Continue reading Simon Brenner Publications

SALAMI Dataset

Subjective Assessments of Legibility in Ancient Manuscript Images. The dataset consists of 250 images of historic manuscripts, paired with spatial maps of human legibility. These legibility were created in a study with 20 experts of philology an paleography. Dataset: Publication: https://link.springer.com/chapter/10.1007/978-3-030-68787-8_5

Modality Independent Image Registration in Python

The task is straight-forward: implement an efficient image registration algorithm using the “Modality-Independent Neighborhood Descriptor” (http://mpheinrich.de/pub/MEDIA_mycopy.pdf) in pure python/numpy. Matlab implementation exists. What you should know: – Python & Numpy – Image processing basics What you should deliver: – An efficient and maintainable implementation (preferably with GPU support): should work on large images and integrate … Continue reading Modality Independent Image Registration in Python

3D Reconstruction of Ancient Bronze Mirrors

Contact: Simon Brenner With over 3000 known examples, Etruscan mirrors form one of the largest object groups in Etruscan art. The majority are metal (mostly bronze) discs with handles whose polished obverse served as a mirror while the reverse was often embellished with engraved and/or chased figures. The old-fashioned way of documenting these objects is … Continue reading 3D Reconstruction of Ancient Bronze Mirrors

Improving a Multispectral Imaging System

Status: available Supervisor: Simon Brenner Problem Statement The Computer Vision Lab has developed a Multispectral Imaging system for the imaging of ancient manuscripts (see Fig.1), which was continuously used and updated for the last 15 years. In this hands-on internship you will help us further improve the system, both in hard- and software. Goal In … Continue reading Improving a Multispectral Imaging System

Generative Adversarial Nets (GANs) for the Enhancement of Ancient Manusctripts

Status: available Supervisor: Simon Brenner Problem Statement Multispectral Imaging (MSI) has proven a powerful tool to recover degraded texts in historic manuscripts. In this context, the goal of image enhancement methods is to take the raw multispectral images as input and produce and output image with maximal visibility/legibility of a degraded text. Fig. 1 shows … Continue reading Generative Adversarial Nets (GANs) for the Enhancement of Ancient Manusctripts

3D Surface Structures of Ancient Manuscripts

Status: available Supervisor: Simon Brenner Problem Statement Naturally, historic manuscripts are valuable sources of information. However, not only the letters and drawings made with ink and pigments hold information, but also the three-dimensional structure of the material itself. Examples of interesting features are ruling lines or textual comments drawn with a hard tool (“hard point … Continue reading 3D Surface Structures of Ancient Manuscripts

Raiders of the Lost Writings – Investigating Ancient Manuscripts

Status: availableSupervisor: Simon Brenner Before continuing to read we strongly recommend to let this play in the background: https://www.youtube.com/watch?v=-bTpp8PQSog Introduction Uncountable ancient manuscripts lie in archives, libraries, monastaries and haunted tombs around the world. Unfortunately, the centuries took their toll: due to unsuitable storage conditions, fire- or water damage, clumsy librarians or the recycling of … Continue reading Raiders of the Lost Writings – Investigating Ancient Manuscripts