Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Point Cloud Color Constancy   In this paper, we present Point Cloud Color Constancy, in short PCCC, an
illumination chromaticity estimation algorithm exploiting a point cloud. We
leverage the depth information captured by the time-of-flight (ToF) sensor
mounted rigidly with the RGB sensor, and form a 6D cloud where each point
contains the coordinates and RGB intensities, noted as (x,y,z,r,g,b). PCCC
applies the PointNet architecture to the color constancy problem, deriving the
illumination vector point-wise and then making a global decision about the
global illumination chromaticity. On two popular RGB-D datasets, which we
extend with illumination information, as well as on a novel benchmark, PCCC
obtains lower error than the state-of-the-art algorithms. Our method is simple
and fast, requiring merely 16*16-size input and reaching speed over 500 fps,
including the cost of building the point cloud and net inference.

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The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
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The categories of this paper are: cmp-lg
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The categories of this paper are: eess
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The categories of this paper are: q-fin
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The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
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The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn