Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An End-to-End Autofocus Camera for Iris on the Move   For distant iris recognition, a long focal length lens is generally used to
ensure the resolution ofiris images, which reduces the depth of field and leads
to potential defocus blur. To accommodate users at different distances, it is
necessary to control focus quickly and accurately. While for users in motion,
it is expected to maintain the correct focus on the iris area continuously. In
this paper, we introduced a novel rapid autofocus camera for active refocusing
ofthe iris area ofthe moving objects using a focus-tunable lens. Our end-to-end
computational algorithm can predict the best focus position from one single
blurred image and generate a lens diopter control signal automatically. This
scene-based active manipulation method enables real-time focus tracking of the
iris area ofa moving object. We built a testing bench to collect real-world
focal stacks for evaluation of the autofocus methods. Our camera has reached an
autofocus speed ofover 50 fps. The results demonstrate the advantages of our
proposed camera for biometric perception in static and dynamic scenes. The code
is available at https://github.com/Debatrix/AquulaCam.

21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an