Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Critical Analysis of Image-based Camera Pose Estimation Techniques   Camera, and associated with its objects within the field of view,
localization could benefit many computer vision fields, such as autonomous
driving, robot navigation, and augmented reality (AR). In this survey, we first
introduce specific application areas and the evaluation metrics for camera
localization pose according to different sub-tasks (learning-based 2D-2D task,
feature-based 2D-3D task, and 3D-3D task). Then, we review common methods for
structure-based camera pose estimation approaches, absolute pose regression and
relative pose regression approaches by critically modelling the methods to
inspire further improvements in their algorithms such as loss functions, neural
network structures. Furthermore, we summarise what are the popular datasets
used for camera localization and compare the quantitative and qualitative
results of these methods with detailed performance metrics. Finally, we discuss
future research possibilities and applications.

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The categories of this paper are: eess
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga