A Flexible Perspective Monocular Depth Estimation Framework for High-Resolution 360deg Images
360MonoDepth: High-Resolution 360° Monocular Depth Estimation
Monocular depth estimation remains a challenge for 360{\deg} data, particularly for high resolutions like 2k that are important for novel-view synthesis and virtual reality applications.In this work, we propose a flexible framework for monocular depth estimation from high-resolution 360{\deg} images using tangent images.We project the 360{\deg}input image onto a set of tangent planes that produce perspective views, which are suitable for the latest, most accurate state-of-the-art perspective monocular depth estimators.We recombine the individual depth estimates using deformable multi-scale alignment followed by gradient-domain blending to improve the consistency of disparity estimates.The result is a dense, high-resolution 360{\deg} depth map with a high level of detail, also for outdoor scenes which are not supported by existing methods.
