  Lighting design and modelling or industrial applications like luminaire
planning and commissioning rely heavily on time consuming manual measurements
or on physically coherent computational simulations. Regarding the
latter,standard approaches are based on CAD modeling simulations and offline
rendering, with long processing times and therefore inflexible workflows. Thus,
in this paper we pro-pose a computer vision based system to measure lighting
with just a single RGBD camera. The proposed method uses both depth data and
images from the sensor to provide a dense measure of light intensity in the
field of view of the camera. We evaluate our system on novel ground truth data
and compare it to state-of-the-art commercial light-planning software. Our
system provides improved performance, while being completely automated, given
that the CAD model is extracted from the depth and the albedo estimated with
the support of RGB images. To the best of our knowledge, this is the first
automatic framework for the estimation of lighting in general indoor scenarios
from RGBDinput.
