Llogari Casas
Image Based Proximate Shadow Retargeting
Casas, Llogari; Fauconneau, Matthias; Kosek, Maggie; Mclister, Kieran; Mitchell, Kenny
Authors
Matthias Fauconneau
Maggie Kosek
Kieran Mclister
Prof Kenny Mitchell K.Mitchell2@napier.ac.uk
Professor
Abstract
We introduce Shadow Retargeting which maps real shadow appearance to virtual shadows given a corresponding deformation of scene geometry, such that appearance is seamlessly maintained. By performing virtual shadow reconstruction from un-occluded real shadow samples observed in the camera frame, we recover the deformed shadow appearance efficiently. Our method uses geometry priors for the shadow casting object and a planar receiver surface. Inspired by image retargeting approaches we describe a novel local search strategy, steered by importance based deformed shadow estimation. 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.
Citation
Casas, L., Fauconneau, M., Kosek, M., Mclister, K., & Mitchell, K. (2018, September). Image Based Proximate Shadow Retargeting. Presented at Computer Graphics & Visual Computing (CGVC) 2018, Swansea University, United Kingdom
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Computer Graphics & Visual Computing (CGVC) 2018 |
Start Date | Sep 13, 2018 |
End Date | Sep 14, 2018 |
Acceptance Date | Jul 24, 2018 |
Online Publication Date | Sep 13, 2018 |
Publication Date | 2018 |
Deposit Date | Sep 14, 2018 |
Journal | EG UK Computer Graphics & Visual Computing |
Publisher | Eurographics Association |
Peer Reviewed | Peer Reviewed |
Book Title | Proceedings of Computer Graphics & Visual Computing (CGVC) 2018 |
DOI | https://doi.org/10.2312/cgvc.20181206 |
Keywords | CCS Concepts, computing methodologies, mixed / augmented reality, graphics systems and interfaces, perception, |
Public URL | http://researchrepository.napier.ac.uk/Output/1299435 |
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