Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Estimation of Sphere Centers from Images of Calibrated Cameras   Calibration of devices with different modalities is a key problem in robotic
vision. Regular spatial objects, such as planes, are frequently used for this
task. This paper deals with the automatic detection of ellipses in camera
images, as well as to estimate the 3D position of the spheres corresponding to
the detected 2D ellipses. We propose two novel methods to (i) detect an ellipse
in camera images and (ii) estimate the spatial location of the corresponding
sphere if its size is known. The algorithms are tested both quantitatively and
qualitatively. They are applied for calibrating the sensor system of autonomous
cars equipped with digital cameras, depth sensors and LiDAR devices.

25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph