Art from Algorithms: Saliency-Guided Digital Projections

  • Sara Greenberg
  • Alexander Wong

Abstract

Saliency algorithms provide a measure of which sections in an image
are important or informative. This can be valuable to digital
artists who wish to produce works that build layers of abstraction
or augmentation onto an input image. Using a framework
based on the Texture-Illumination Guided Global Energy Response
(TIGGER) to access two types of saliency measurements, a multidisciplinary
projection project, Nebula, has been produced, in which
starscapes are created in near real time from depth images.

How to Cite
Greenberg, S., & Wong, A. (1). Art from Algorithms: Saliency-Guided Digital Projections. Journal of Computational Vision and Imaging Systems, 2(1). https://doi.org/10.15353/vsnl.v2i1.126
Section
Articles