Information
- Publication Type: Journal Paper with Conference Talk
- Workgroup(s)/Project(s):
- Date: April 2018
- Journal: Computer Graphics Forum (Proc. EUROGRAPHICS 2018)
- Volume: 37
- Open Access: yes
- Number: 2
- Location: Delft, The Netherlands
- Lecturer: Michael Birsak
- Event: EUROGRAPHICS 2018
- DOI: 10.1111/cgf.13359
- Pages: accepted
- Conference date: 16. April 2018 – 20. April 2018
- Pages: 263 – 274
Abstract
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 ten- sioned 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.Additional Files and Images
Weblinks
BibTeX
@article{Birsak2018-SA, title = "String Art: Towards Computational Fabrication of String Images", author = "Michael Birsak and Florian Rist and Peter Wonka and Przemyslaw Musialski", year = "2018", abstract = "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 ten- sioned 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.", month = apr, journal = "Computer Graphics Forum (Proc. EUROGRAPHICS 2018)", volume = "37", number = "2", doi = "10.1111/cgf.13359", pages = "accepted", pages = "263--274", URL = "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/", }