View-Consistent 4D Light Field Superpixel Segmentation

Numair Khan, Qian Zhang, Lucas Kasser, Henry Stone, Min H. Kim, James Tompkin; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 7811-7819


Many 4D light field processing applications rely on superpixel segmentations, for which occlusion-aware view consistency is important. Yet, existing methods often enforce consistency by propagating clusters from a central view only, which can lead to inconsistent superpixels for non-central views. Our proposed approach combines an occlusion-aware angular segmentation in horizontal and vertical EPI spaces with an occlusion-aware clustering and propagation step across all views. Qualitative video demonstrations show that this helps to remove flickering and inconsistent boundary shapes versus the state-of-the-art approach, and quantitative metrics reflect these findings with improved boundary accuracy and view consistency scores.

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author = {Khan, Numair and Zhang, Qian and Kasser, Lucas and Stone, Henry and Kim, Min H. and Tompkin, James},
title = {View-Consistent 4D Light Field Superpixel Segmentation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}