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Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes

Salma Jiddi 1, 2 Philippe Robert 1 Eric Marchand 2 
2 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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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Submitted on : Tuesday, August 23, 2016 - 4:26:12 PM
Last modification on : Monday, June 27, 2022 - 3:02:09 AM
Long-term archiving on: : Thursday, November 24, 2016 - 1:15:23 PM


Reflectance and Illumination E...
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  • HAL Id : hal-01355581, version 1


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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