Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Consistent Two-Flow Network for Tele-Registration of Point Clouds   Rigid registration of partial observations is a fundamental problem in
various applied fields. In computer graphics, special attention has been given
to the registration between two partial point clouds generated by scanning
devices. State-of-the-art registration techniques still struggle when the
overlap region between the two point clouds is small, and completely fail if
there is no overlap between the scan pairs. In this paper, we present a
learning-based technique that alleviates this problem, and allows registration
between point clouds, presented in arbitrary poses, and having little or even
no overlap, a setting that has been referred to as tele-registration. Our
technique is based on a novel neural network design that learns a prior of a
class of shapes and can complete a partial shape. The key idea is combining the
registration and completion tasks in a way that reinforces each other. In
particular, we simultaneously train the registration network and completion
network using two coupled flows, one that register-and-complete, and one that
complete-and-register, and encourage the two flows to produce a consistent
result. We show that, compared with each separate flow, this two-flow training
leads to robust and reliable tele-registration, and hence to a better point
cloud prediction that completes the registered scans. It is also worth
mentioning that each of the components in our neural network outperforms
state-of-the-art methods in both completion and registration. We further
analyze our network with several ablation studies and demonstrate its
performance on a large number of partial point clouds, both synthetic and
real-world, that have only small or no overlap.

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The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
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The categories of this paper are: eess
9
The categories of this paper are: nlin
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The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph