Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PrimiTect: Fast Continuous Hough Voting for Primitive Detection   This paper tackles the problem of data abstraction in the context of 3D point
sets. Our method classifies points into different geometric primitives, such as
planes and cones, leading to a compact representation of the data. Being based
on a semi-global Hough voting scheme, the method does not need initialization
and is robust, accurate, and efficient. We use a local, low-dimensional
parameterization of primitives to determine type, shape and pose of the object
that a point belongs to. This makes our algorithm suitable to run on devices
with low computational power, as often required in robotics applications. The
evaluation shows that our method outperforms state-of-the-art methods both in
terms of accuracy and robustness.

6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph