Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Depth Completion with RGB Prior   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 to the required accuracy. To train the model,
we created a novel industrial dataset that we now present to the public. The
data was collected with low-end depth cameras and the ground truth depth was
generated by multi-view fusion.

2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an