The acquisition of surface material properties and lighting conditions is a fundamental step for photo-realistic Augmented Reality (AR). In this paper, we present a new method for the estimation of diffuse and specular reflectance properties of indoor real static scenes. Using an RGB-D sensor, we further estimate the 3D position of light sources responsible for specular phenomena and propose a novel photometry-based classification for all the 3D points. Our algorithm allows convincing AR results such as realistic virtual shadows as well as proper illumination and specularity occlusions.
Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes
Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes
Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes
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