Nebula: Live Dynamic Projection Mapping via Object Saliency

Sara Greenberg, Audrey G. Chung and Alexander Wong
Proceedings of Bridges 2017: Mathematics, Art, Music, Architecture, Education, Culture
Pages 431–434 Short Papers

Abstract

Saliency algorithms provide a quantitative measurement of importance for points or regions of an image. This can be valuable to digital artists who wish to produce works that build layers of abstraction or augmentation onto an input image or video frame. A saliency metric developed for illumination-robust object saliency can be used as a framework for artistic mapping, and one result is a live, multi-disciplinary projection piece. Nebula is an acrobatic performance piece in which an aerial dancer's movement is augmented by projected starscapes created in real time using a depth camera live feed and the described framework.

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