Labeling Panoramas with Spherical Hourglass Networks

Hourglass
DOI: 10.48550/arxiv.1809.02123 Publication Date: 2018-01-01
ABSTRACT
With the recent proliferation of consumer-grade 360° cameras, it is worth revisiting visual perception challenges with spherical cameras given potential benefit their global field view. To this end we introduce a convolutional hourglass network (SCHN) for dense labeling on sphere. The SCHN invariant to camera orientation (lifting usual requirement `upright' panoramic images), and its design scalable larger practical datasets. Initial experiments show promising results semantic segmentation task.
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