Macquarrie, Andrew and Steed, Anthony (2015) Object removal in panoramic media. In: CVMP '15: Proceedings of the 12th European Conference on Visual Media Production. ACM Digital Library (2). Association for Computing Machinery (ACM), New York, United States, pp. 1-10. ISBN 978-1450335607 (doi:https://doi.org/10.1145/2824840.2824844)

Preview

PDF (AAM) 35101_MacQUARRIE_Investigating_the_perceived_strengths_and_limitations_of_FVV.pdf - Accepted Version Available under License Creative Commons Attribution No Derivatives. Download (17MB) | Preview

Abstract

Due in large part to new consumer virtual reality systems, panoramic media is an increasingly popular image and video format. While the capture of panoramic media is well understood, editing still poses many challenges. In this paper we explore object removal in 360 images. First, a method is proposed in which field-of-view expansion using retargeting techniques is combined with Graphcut Textures to remove objects near the equator of the viewing sphere. Several extensions and refinements are proposed to improve this technique, including how it can be extended to removing objects anywhere on the viewing sphere. Secondly, inpainting in 360 images is examined, with an exploration of how the choice of projection affects the inpainting result. Finally, the latter technique is shown to work for video in certain situations.

Item Type:	Conference Proceedings
Title of Proceedings:	CVMP '15: Proceedings of the 12th European Conference on Visual Media Production
Additional Information:	For the purpose of open access, the author has applied a ‘Creative Commons Attribution (CC BY) licence (where permitted by UKRI, ‘Open Government Licence’ or ‘Creative Commons Attribution No-derivatives (CC BY-ND) licence’ may be stated instead) to any Author Accepted Manuscript version arising.
Uncontrolled Keywords:	computational photography; Image manipulation; panorama images
Subjects:	N Fine Arts > N Visual arts (General) For photography, see TR Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:	Publisher Publisher
Last Modified:	04 Mar 2022 13:07
URI:	http://gala.gre.ac.uk/id/eprint/35101

Actions (login required)

View Item

Downloads