Automatic Light Scene Setting Through Image-Based Sparse Light Effect Approximation

Recently a series of key factors are deeply transforming lighting systems. Single lights can be controlled individually and with advanced rendering capabilities. Furthermore, a shift is underway from independent light sources to integrated lighting installations. These factors fuel the need for intu...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2012-08, Vol.14 (4), p.1351-1358
Main Authors: Gritti, T., Monaci, G.
Format: Article
Language:English
Subjects:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Artificial intelligence
Atmosphere
Calibration
Cameras
Computer science
control theory
systems
Exact sciences and technology
Image color analysis
Light atmosphere creation
Light sources
Lighting
lighting design
Pattern recognition. Digital image processing. Computational geometry
Rendering (computer graphics)
scene understanding
sparse image approximation
Theoretical computing
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Summary:Recently a series of key factors are deeply transforming lighting systems. Single lights can be controlled individually and with advanced rendering capabilities. Furthermore, a shift is underway from independent light sources to integrated lighting installations. These factors fuel the need for intuitive, flexible control techniques that can fully exploit the rendering capabilities of a lighting infrastructure. In this paper, we present a novel framework to automatically create lighting atmospheres in any type of environment. The desired light settings are derived by approximation of user-defined input images or videos. This input modality gives an immediate and intuitive representation of a lighting atmosphere and allows the user to translate into a light setting any visual content. The effectiveness and versatility of the proposed solution is demonstrated and discussed by deploying the system in several challenging, real-life application scenarios.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2012.2191271