@article{Greenberg_Wong_2016, title={Art from Algorithms: Saliency-Guided Digital Projections}, volume={2}, url={https://openjournals.uwaterloo.ca/index.php/vsl/article/view/126}, DOI={10.15353/vsnl.v2i1.126}, abstractNote={<p>Saliency algorithms provide a measure of which sections in an image<br />are important or informative. This can be valuable to digital<br />artists who wish to produce works that build layers of abstraction<br />or augmentation onto an input image. Using a framework<br />based on the Texture-Illumination Guided Global Energy Response<br />(TIGGER) to access two types of saliency measurements, a multidisciplinary<br />projection project, Nebula, has been produced, in which<br />starscapes are created in near real time from depth images.</p>}, number={1}, journal={Journal of Computational Vision and Imaging Systems}, author={Greenberg, Sara and Wong, Alexander}, year={2016}, month={Oct.} }