Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Interactive Hand Pose Estimation: Boosting accuracy in localizing
  extended finger joints   Accurate 3D hand pose estimation plays an important role in Human Machine
Interaction (HMI). In the reality of HMI, joints in fingers stretching out,
especially corresponding fingertips, are much more important than other joints.
We propose a novel method to refine stretching-out finger joint locations after
obtaining rough hand pose estimation. It first detects which fingers are
stretching out, then neighbor pixels of certain joint vote for its new location
based on random forests. The algorithm is tested on two public datasets: MSRA15
and ICVL. After the refinement stage of stretching-out fingers, errors of
predicted HMI finger joint locations are significantly reduced. Mean error of
all fingertips reduces around 5mm (relatively more than 20%). Stretching-out
fingertip locations are even more precise, which in MSRA15 reduces 10.51mm
(relatively 41.4%).

7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex