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Poster communications

Illumination Estimation using Cast Shadows for Realistic Augmented Reality Applications

Salma Jiddi 1, 2 Philippe Robert 3 Eric Marchand 2
2 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique
Abstract : Augmented Reality (AR) scenarios aim to provide realistic blending between real world and virtual objects. A key factor for realistic AR is thus a correct illumination simulation. This consists in estimating the characteristics of real light sources and use them to model virtual lighting. In this paper, we briefly introduce a novel method for recovering both 3D position and intensity of multiple light sources using detected cast shadows. Our algorithm has been successfully tested on a set of real scenes where virtual objects have visually coherent shadows.
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Poster communications
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Submitted on : Friday, December 22, 2017 - 2:12:25 PM
Last modification on : Friday, July 10, 2020 - 4:01:33 PM
Long-term archiving on: : Friday, March 23, 2018 - 12:27:03 PM


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  • HAL Id : hal-01668701, version 1


Salma Jiddi, Philippe Robert, Eric Marchand. Illumination Estimation using Cast Shadows for Realistic Augmented Reality Applications. IEEE Int. Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), Oct 2017, Nantes, France. 2017. ⟨hal-01668701⟩



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