Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Accurate Active Camera Localization   In this work, we solve the problem of active camera localization, which
controls the camera movements actively to achieve an accurate camera pose. The
past solutions are mostly based on Markov Localization, which reduces the
position-wise camera uncertainty for localization. These approaches localize
the camera in the discrete pose space and are agnostic to the
localization-driven scene property, which restrict the camera pose accuracy in
the coarse scale. We propose to overcome these limitations via a novel active
camera localization algorithm, composed of a passive and an active localization
module. The former one optimizes the camera pose in the continuous pose space
by establishing the point-wise camera-world correspondences. The latter one
explicitly models the scene and camera uncertainty components to plan the right
path for accurate camera pose estimation. We validate our algorithm on the
challenging localization scenarios from both synthetic and scanned real-world
indoor scenes. Experimental results demonstrate that our algorithm outperforms
both the state-of-the-art Markov Localization based approach and other compared
approaches on the fine-scale camera pose accuracy.

12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci