KAUST DepartmentComputer Science Program
Visual Computing Center (VCC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
VCC / KAUST, Saudi Arabia
Online Publication Date2018-06-01
Print Publication Date2018-05
Embargo End Date2019-01-01
Permanent link to this recordhttp://hdl.handle.net/10754/656489
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AbstractIn 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.
CitationBirsak, M., Rist, F., Wonka, P., & Musialski, P. (2018). String Art: Towards Computational Fabrication of String Images. Computer Graphics Forum, 37(2), 263–274. doi:10.1111/cgf.13359
SponsorsWe thank the reviewers for their helpful suggestions. This research was funded by the Austrian Science Fund (FWF P27972-N31) and the Vienna Science and Technology Fund (WWTF ICT15-082).
JournalComputer Graphics Forum