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A benchmark of light field view interpolation methods

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Yue, D 
Khan Gul, MS 
Batz, M 
Keinert, J 

Abstract

Light field view interpolation provides a solution that reduces the prohibitive size of a dense light field. This paper examines state-ofthe-art light field view interpolation methods with a comprehensive benchmark on challenging scenarios specific for interpolation tasks. Each method is analyzed in terms of their strengths and weaknesses in handling different challenges. We find that large disparities in a scene are the main source of challenge for the light field view interpolation methods. We also find that a basic backward warping based on the depth estimation from optical flow provides comparable performance against usually complex learning-based methods.

Description

Keywords

46 Information and Computing Sciences, 4603 Computer Vision and Multimedia Computation

Journal Title

2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020

Conference Name

2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

Journal ISSN

Volume Title

Publisher

IEEE

Rights

All rights reserved
Sponsorship
European Research Council (725253)
European Commission Horizon 2020 (H2020) Marie Sklodowska-Curie actions (765911)
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