Konversatorium on Friday, March 23, 2018 - 10:30

Slots for Talks still available! Please contact the KV administration.
Friday, March 23, 2018 - 10:30
Seminar room 193-2 (Favoritenstraße 9, Stiege 1, 5th floor)

String Art: Towards Computational Fabrication of String Images (Eurographics 2018 Test Talk)

Michael Birsak (Inst. 193-02 CG)
20 + 20

In this paper we propose a novel method for the automatic computation and digital fabrication of artistic string images. String art is a technique used by artists for the creation of abstracted images which are composed of straight lines of strings tensioned between pins distributed on a frame. Together the strings fuse to a perceptible image. Traditionally, artists craft such images manually in a highly sophisticated and tedious design process. To achieve this goal fully automatically we propose a computational setup driven by a discrete optimization algorithm which takes an ordinary picture as input and converts it into a connected graph of strings that tries to reassemble the input image best possibly. Furthermore, we propose a hardware setup for automatic digital fabrication of these images using an industrial robot that spans the strings. Finally, we demonstrate the applicability of our approach by generating and fabricating a set of real string art images.

Interactive Correlation Panels for the Geological Mapping of the Martian Surface (DAAV)

Rebecca Nowak (Inst. 193-02 CG)
10 + 10
Additional Files: 
PDF icon MasterThesisAbstract_00626227.pdf265.98 KB

Comparative Visualization of Pelvic Organ Segmentations (DAEV)

Oliver Reiter (Inst. 193-02 CG)
20 + 10
Renata Raidou
Automatic segmentation of pelvic organs plays a major role in prostate cancer treatmentand has high accuracy requirements. Segmentation experts are continuously workingon improving their algorithms. However, natural anatomical variability of organs andstructures is a common reason for which segmentation algorithms fail. Understanding whyan algorithm fails in a specific case is of major importance. Segmentation experts expectthat the shape and size of the organs can play an important role in the performance oftheir algorithms, but current means of exploration and analysis are limited and do not provide the necessary insight.
This thesis discusses the design and implementation of a web-based application allowing for easy exploration and analysis of shape variability in order to generate hypotheses about the relation between algorithm performance and shape of organs. A new way of comparatively visualizing multiple organs of multiple patients is introduced for a detailed shape comparison. The application was tested with segmentation meshes of a cohort of 17 patients, each consisting of four pelvic organs and two organ-interfaces, which are labeled and have per-triangle correspondence. The proposed tools already allow to quickly identify mis-segmented organs and hypothesize about the relation of variability to anatomical features as well as segmentation quality. The approach was applied on pelvic organ segmentations, but it can be extended to other applications like comparison of segmentation algorithms or analysis of anatomical variability in general.