Labeling Panoramas with Spherical Hourglass Networks

Carlos Esteves; Kostas Daniilidis; Ameesh Makadia

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arXiv · 1809.02123

Labeling Panoramas with Spherical Hourglass Networks

Carlos Esteves·Kostas Daniilidis·Ameesh Makadia

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Abstract

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

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BibTeX RIS

Carlos Esteves, Kostas Daniilidis, Ameesh Makadia. 2018-09-06. Labeling Panoramas with Spherical Hourglass Networks. https://arxiv.org/abs/1809.02123

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