Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Two-step Calibration Method for Unfocused Light Field Camera Based on
  Projection Model Analysis   Accurately calibrating light field camera is essential to its applications.
Rapid progress has been made in this area in the past decades. In this paper,
detailed analysis was first performed towards the state of the art projection
models for calibration which were further interpreted in three representations,
including the correspondence between rays and pixels, 3D physical points and
pixels and between 3D physical points and 3D signal structure of the captured
light field. Based on the analysis, parameters in the projection model were
grouped into direction parameter set and depth parameter set. A two-step
calibration method was then proposed with each step dealing with each set of
parameters. The proposed method is able to reuse traditional camera calibration
methods for the direction parameter set. A simply raw image-based calibration
of depth parameter set was further proposed. Systematic validations were
conducted to evaluate the performance of the proposed calibration method.
Experimental results show that the accuracy and robustness of the proposed
method outperforms its counterparts under various benchmark criteria.

8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
2
The categories of this paper are: math