TMM 2017

Spherical superpixel segmentation

Qiang Zhao       Liang Wan       Jiawan Zhang

IEEE International Conference on



In this paper, we present a superpixel generation method for spherical images, which cover 360° field-of-view. Unlike previous works that directly use existing superpixel algorithms on unrolled spherical images, our approach explicitly considers the geometry for spherical images and uses sphere as the underlying representation. For quantitative evaluation, we make a spherical image segmentation database by transforming Berkeley segmentation dataset to the spherical domain. Experimental results show that our method can get better performance in terms of adherence to image boundaries and spherical size variance. What's more, superpixels generated by our method all have closed contours.



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