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Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses

Casas, Llogari; Fauconneau, Matthias; Kosek, Maggie; Mclister, Kieran; Mitchell, Kenny

Authors

Matthias Fauconneau

Maggie Kosek

Kieran Mclister



Abstract

Shadow-retargeting maps depict the appearance of real shadows to virtual shadows given corresponding deformation of scene geometry, such that appearance is seamlessly maintained. By performing virtual shadow reconstruction from unoccluded real-shadow samples observed in the camera frame, this method efficiently recovers deformed shadow appearance. In this manuscript, we introduce a light-estimation approach that enables light-source detection using flat Fresnel lenses that allow this method to work without a set of pre-established conditions. We extend the adeptness of this approach by handling scenarios with multiple receiver surfaces and a non-grounded occluder with high accuracy. Results are presented on a range of objects, deformations, and illumination conditions in real-time Augmented Reality (AR) on a mobile device. We demonstrate the practical application of the method in generating otherwise laborious in-betweening frames for 3D printed stop-motion animation

Journal Article Type Article
Conference Name CVGC2018
Acceptance Date Mar 26, 2019
Online Publication Date Apr 2, 2019
Publication Date Apr 2, 2019
Deposit Date Apr 2, 2019
Publicly Available Date Apr 3, 2019
Journal Computers
Electronic ISSN 2073-431X
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 8
Issue 2
Article Number 29
Edition Special Issue Selected Papers from the Computer Graphics & Visual Computing (CGVC 2018)
DOI https://doi.org/10.3390/computers8020029
Keywords Augmented reality; mixed reality; computer graphics; interactive graphics; human–computer interaction
Public URL http://researchrepository.napier.ac.uk/Output/1702408
Publisher URL https://www.mdpi.com/2073-431X/8/2/29
Contract Date Apr 2, 2019

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Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses (63.7 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).







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