Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning-Based Framework for Camera Calibration with Distortion
  Correction and High Precision Feature Detection   Camera calibration is a crucial technique which significantly influences the
performance of many robotic systems. Robustness and high precision have always
been the pursuit of diverse calibration methods. State-of-the-art calibration
techniques based on classical Zhang's method, however, still suffer from
environmental noise, radial lens distortion and sub-optimal parameter
estimation. Therefore, in this paper, we propose a hybrid camera calibration
framework which combines learning-based approaches with traditional methods to
handle these bottlenecks. In particular, this framework leverages
learning-based approaches to perform efficient distortion correction and robust
chessboard corner coordinate encoding. For sub-pixel accuracy of corner
detection, a specially-designed coordinate decoding algorithm with embed
outlier rejection mechanism is proposed. To avoid sub-optimal estimation
results, we improve the traditional parameter estimation by RANSAC algorithm
and achieve stable results. Compared with two widely-used camera calibration
toolboxes, experiment results on both real and synthetic datasets manifest the
better robustness and higher precision of the proposed framework. The massive
synthetic dataset is the basis of our framework's decent performance and will
be publicly available along with the code at
https://github.com/Easonyesheng/CCS.

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The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
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The categories of this paper are: solv-int
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The categories of this paper are: q-fin
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The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg