Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes
Résumé
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.
Domaines
Informatique [cs]
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Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes.pdf (2.72 Mo)
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