Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Which One is Better: Assessing Objective Metrics for Point Cloud
  Compression   Point cloud compression (PCC) has made remarkable achievement in recent
years. In the mean time, point cloud quality assessment (PCQA) also realize
gratifying development. Some recently emerged metrics present robust
performance on public point cloud assessment databases. However, these metrics
have not been evaluated specifically for PCC to verify whether they exhibit
consistent performance with the subjective perception. In this paper, we
establish a new dataset for compression evaluation first, which contains 175
compressed point clouds in total, deriving from 7 compression algorithms with 5
compression levels. Then leveraging the proposed dataset, we evaluate the
performance of the existing PCQA metrics in terms of different compression
types. The results demonstrate some deficiencies of existing metrics in
compression evaluation.

22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
1
The categories of this paper are: cs
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin