.png){kind=icon}
.png){kind=icon}
Return
Automatic Light Scene Setting Through Image-Based Sparse Light Effect Approximation
.png){kind=icon}
PRE
AI
DOI：10.1109/TMM.2012.2191271.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Light atmosphere creation
lighting design
scene understanding
sparse image approximation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.