Static scene illumination estimation from video with applications

Liu, B, Martin, Ralph R. and Hu, Shi-Min ORCID: https://orcid.org/0000-0001-7507-6542 2017. Static scene illumination estimation from video with applications. Journal of Computer Science and Technology 32 (3) , pp. 430-442. 10.1007/s11390-017-1734-y

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Abstract

We present a system that automatically recovers scene geometry and illumination from a video, providing a basis for various applications. Previous image based illumination estimation methods require either user interaction or external information in the form of a database. We adopt structure-from-motion and multi-view stereo for initial scene reconstruction, and then estimate an environment map represented by spherical harmonics (as these perform better than other bases). We also demonstrate several video editing applications that exploit the recovered geometry and illumination, including object insertion (e.g., for augmented reality), shadow detection, and video relighting.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Springer Verlag
ISSN:	1000-9000
Date of First Compliant Deposit:	5 October 2017
Date of Acceptance:	15 November 2016
Last Modified:	11 May 2023 13:54
URI:	https://orca.cardiff.ac.uk/id/eprint/96171

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