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A benchmark of light field view interpolation methods

: Yue, D.; Gul, M.S.K.; Bätz, M.; Keinert, J.; Mantiuk, R.


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Conference on Multimedia & Expo Workshops, ICMEW 2020 : 06-10 July 2020, London
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-1486-6
ISBN: 978-1-7281-1485-9
6 S.
International Conference on Multimedia and Expo (ICME) <2020, Online>
International Conference on Multimedia and Expo Workshops (ICMEW) <2020, Online>
Fraunhofer IIS ()

Light field view interpolation provides a solution that reduces the prohibitive size of a dense light field. This paper examines state-of- the-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.