Computational rim illumination with aerial robots
Name
litrobot_2014_manohar_kavita_fredo.pdf
Description
Accepted version
Size
5.71 MB
Format
Adobe PDF
Checksum (MD5)
423f14641d7fadfb6966dd30a39257c2
Author(s)
Srikanth, Manohar Balagatte
Bala, Kavita
Durand, Frederic
Date Issued
August 2014
Journal
Proceedings of the Workshop on Computational Aesthetics
Publisher
ACM Press
Citation
Srikanth, Manohar, et al. “Computational Rim Illumination with Aerial Robots.” Proceedings of the Workshop on Computational Aesthetics - CAe ’14, Vancouver, British Columbia, Canada, 8-10 August, 2014, ACM Press, 2014, pp. 57–66.
Version
Author's final manuscript
Abstract
Lighting plays a major role in photography. Professional photographers use elaborate installations to light their subjects and achieve sophisticated styles. However, lighting moving subjects performing dynamic tasks presents significant challenges and requires expensive manual intervention. A skilled additional assistant might be needed to reposition lights as the subject changes pose or moves, and the extra logistics significantly raises costs and time. We present a new approach to lighting dynamic subjects where an aerial robot equipped with a portable light source lights the subject to automatically achieve a desired lighting effect. We focus on rim lighting, a particularly challenging effect to achieve with dynamic subjects, and allow the photographer to specify a required rim width. Our algorithm processes the images from the photographer's camera and provides necessary motion commands to the aerial robot to achieve the desired rim width in the resulting photographs. We demonstrate a control approach that localizes the aerial robot with reference to the subject and tracks the subject to achieve the necessary motion. Our proof-of-concept results demonstrate the utility of robots in computational lighting. 2014 Copyright held by the Owner/Author. Publication rights licensed to ACM. ACM 978-1-4503-3019-0/14/08 $15.00.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2630099.2630105
