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Towards a quality metric for dense light fields, CVPR 2017

Towards a quality metric for dense light fields

Vamsi Kiran Adhikarla1     Marek Vinkler1     Denis Sumin1     Rafał Mantiuk2     Karol Myszkowski1    
Hans-Peter Seidel1     Piotr Didyk1,3    

1 MPI Informatik     2 The Computer Laboratory, University of Cambridge     3 Saarland University, MMCI    


Light fields become a popular representation of threedimensional scenes, and there is interest in their processing, resampling, and compression. As those operations often result in loss of quality, there is a need to quantify it. In this work, we collect a new dataset of dense reference and distorted light fields as well as the corresponding quality scores which are scaled in perceptual units. The scores were acquired in a subjective experiment using an interactive light field viewing setup. The dataset contains typical artifacts that occur in light field processing chain due to light field reconstruction, multi-view compression, and limitations of automultiscopic displays. We test a number of existing objective quality metrics to determine how well they can predict the quality of light fields. We find that the existing image quality metrics provide good measures of light field quality, but require dense reference light fields for optimal performance. For more complex tasks of comparing two distorted light fields, their performance drops significantly, which reveals the need for new, light field specific metrics.



Paper (Full Author's Copy) (8.9 MB)
Video with results (62 MB)
CVPR 2017 presentation slides (To be updated)
Download Dataset
Download Subjective Scaling
Subjective scaling software
Supplementary material (11.8 MB)


Vamsi Kiran Adhikarla, Marek Vinkler, Denis Sumin, Rafał Mantuik, Karol Myszkowski, Hans-Peter Seidel, Piotr Didyk
Towards a quality metric for dense light fields
Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

 author = {Vamsi Kiran Adhikarla and Marek Vinkler and Denis Sumin and Rafał Mantiuk and Karol Myszkowski and Hans-Peter Seidel and Piotr Didyk},
 booktitle = {Proceedings of the {IEEE} Conf. on Computer Vision and Pattern Recognition ({CVPR})},
 title = {Towards a Quality Metric for Dense Light Fields},
 year = {2017}

© 2017 The Authors. This is the author's version of the work. It is posted here for your personal use. Not for redistribution.

MPI Informatik University of Cambridge Saarland University