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Depth Completion with RGB Prior
[article]
2020
arXiv
pre-print
Depth cameras are a prominent perception system for robotics, especially when operating in natural unstructured environments. Industrial applications, however, typically involve reflective objects under harsh lighting conditions, a challenging scenario for depth cameras, as it induces numerous reflections and deflections, leading to loss of robustness and deteriorated accuracy. Here, we developed a deep model to correct the depth channel in RGBD images, aiming to restore the depth information
arXiv:2008.07861v1
fatcat:jkptc5ytxzdzjl76i6sidgodm4