Abstract: A method for simulating, at an instant, the illumination of an indoor scene observed by a camera and being illuminated by outdoor light, the method comprising: a first preliminary phase including: obtaining a reflectance map of the scene elaborating normalized radiosity maps for the contribution of the sky and the ground, a second phase carried out within a first given duration from the instant including: obtaining the position of the sun, obtaining a normalized radiosity map for the contribution of the sun, a third phase, including: acquiring an image of the scene, determining brightness scale parameters for the ground, the sky, and the sun. The disclosure also proposes tracking the camera position.

Abstract: A method for simulating, at an instant, the illumination of an indoor scene observed by a camera and being illuminated by outdoor light, the method comprising: a first preliminary phase including: obtaining a reflectance map of the scene elaborating normalized radiosity maps for the contribution of the sky and the ground, a second phase carried out within a first given duration from the instant including: obtaining the position of the sun, obtaining a normalized radiosity map for the contribution of the sun, a third phase, including: acquiring an image of the scene, determining brightness scale parameters for the ground, the sky, and the sun. The disclosure also proposes tracking the camera position.

Abstract: The disclosure relates to a computer implemented method for building a lighting adaptable map of an indoor scene, the scene comprising at least one light source and at least one surface, wherein the lighting adaptable map adapts its appearance based on a given light setting, wherein the light setting is defined by the state of each light source, comprising: obtaining first image information of the scene, where all light sources are turned on, estimating a map of the scene based on said first image information, said map comprising radiance information and light reflecting characteristics of the surfaces in the scene, detecting and segmenting individual light sources in the scene based on the estimated map, estimating the radiance contribution of each light source to the scene based on the estimated map, and building the lighting adaptable map by storing the estimated radiance contributions and combining them for any given light setting.