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Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression. (arXiv:2205.04565v1 [cs.CV])
May 11, 2022, 1:10 a.m. | HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leo
cs.CV updates on arXiv.org arxiv.org
Depth estimation is a core task in 3D computer vision. Recent methods
investigate the task of monocular depth trained with various depth sensor
modalities. Every sensor has its advantages and drawbacks caused by the nature
of estimates. In the literature, mostly mean average error of the depth is
investigated and sensor capabilities are typically not discussed. Especially
indoor environments, however, pose challenges for some devices. Textureless
regions pose challenges for structure from motion, reflective materials are
problematic for active sensing, …
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