Research Output

Image Based Proximate Shadow Retargeting

  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.

  • Date:

    13 September 2018

  • Publication Status:

    Published

  • DOI:

    10.2312/cgvc.20181206

  • Library of Congress:

    QA76 Computer software

  • Dewey Decimal Classification:

    006.6 Computer graphics

  • Funders:

    EC European Commission

Citation

Casas, L., Fauconneau, M., Kosek, M., Mclister, K., & Mitchell, K. (2018). Image Based Proximate Shadow Retargeting. In Proceedings of Computer Graphics & Visual Computing (CGVC) 2018https://doi.org/10.2312/cgvc.20181206

Authors

Keywords

CCS Concepts, computing methodologies, mixed / augmented reality, graphics systems and interfaces, perception,

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