A benchmark of light field view interpolation methods
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Peer-reviewed
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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.
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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
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2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
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IEEE
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All rights reserved
Sponsorship
European Research Council (725253)
European Commission Horizon 2020 (H2020) Marie Sklodowska-Curie actions (765911)
European Commission Horizon 2020 (H2020) Marie Sklodowska-Curie actions (765911)