Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: D-VPnet: A Network for Real-time Dominant Vanishing Point Detection in
  Natural Scenes   As an important part of linear perspective, vanishing points (VPs) provide
useful clues for mapping objects from 2D photos to 3D space. Existing methods
are mainly focused on extracting structural features such as lines or contours
and then clustering these features to detect VPs. However, these techniques
suffer from ambiguous information due to the large number of line segments and
contours detected in outdoor environments. In this paper, we present a new
convolutional neural network (CNN) to detect dominant VPs in natural scenes,
i.e., the Dominant Vanishing Point detection Network (D-VPnet). The key
component of our method is the feature line-segment proposal unit (FLPU), which
can be directly utilized to predict the location of the dominant VP. Moreover,
the model also uses the two main parallel lines as an assistant to determine
the position of the dominant VP. The proposed method was tested using a public
dataset and a Parallel Line based Vanishing Point (PLVP) dataset. The
experimental results suggest that the detection accuracy of our approach
outperforms those of state-of-the-art methods under various conditions in
real-time, achieving rates of 115fps.

20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
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The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
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The categories of this paper are: comp-gas
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The categories of this paper are: alg-geom
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg