Skip to Main content Skip to Navigation
Conference papers

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
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique , CRISAM - Inria Sophia Antipolis - Méditerranée
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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/hal-01355581
Contributor : Eric Marchand <>
Submitted on : Tuesday, August 23, 2016 - 4:26:12 PM
Last modification on : Friday, July 10, 2020 - 4:11:25 PM
Long-term archiving on: : Thursday, November 24, 2016 - 1:15:23 PM

File

Reflectance and Illumination E...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01355581, version 1

Citation

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⟩

Share

Metrics

Record views

703

Files downloads

813