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Conference Papers Year : 2016

Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes

Abstract

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.
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Dates and versions

hal-01355581 , version 1 (23-08-2016)

Identifiers

  • HAL Id : hal-01355581 , version 1

Cite

Salma Jiddi, Philippe Robert, Eric Marchand. Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes. IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR'16 (poster session), Sep 2016, Merida, Mexico. ⟨hal-01355581⟩
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