Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images

@article{Giraud2021GeneralizedSP,
  title={Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images},
  author={R{\'e}mi Giraud and Rodrigo Borba Pinheiro and Y. Berthoumieu},
  journal={2020 25th International Conference on Pattern Recognition (ICPR)},
  year={2021},
  pages={2650-2656}
}
Most of existing superpixel methods are designed to segment standard planar images as pre-processing for computer vision pipelines. Nevertheless, the increasing number of applications based on wide angle capture devices, mainly generating 360° spherical images, have enforced the need for dedicated superpixel approaches. In this paper, we introduce a new superpixel method for spherical images called SphSPS (for Spherical Shortest Path-based Superpixels). Our approach respects the spherical… Expand

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