Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3D Face Hallucination from a Single Depth Frame   We present an algorithm that takes a single frame of a person's face from a
depth camera, e.g., Kinect, and produces a high-resolution 3D mesh of the input
face. We leverage a dataset of 3D face meshes of 1204 distinct individuals
ranging from age 3 to 40, captured in a neutral expression. We divide the input
depth frame into semantically significant regions (eyes, nose, mouth, cheeks)
and search the database for the best matching shape per region. We further
combine the input depth frame with the matched database shapes into a single
mesh that results in a high-resolution shape of the input person. Our system is
fully automatic and uses only depth data for matching, making it invariant to
imaging conditions. We evaluate our results using ground truth shapes, as well
as compare to state-of-the-art shape estimation methods. We demonstrate the
robustness of our local matching approach with high-quality reconstruction of
faces that fall outside of the dataset span, e.g., faces older than 40 years
old, facial expressions, and different ethnicities.

20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th