Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated
  Near Point Lights   We present a new color photometric stereo (CPS) method that recovers high
quality, detailed 3D face geometry in a single shot. Our system uses three
uncalibrated near point lights of different colors and a single camera. For
robust self-calibration of the light sources, we use 3D morphable model (3DMM)
and semantic segmentation of facial parts. We address the spectral ambiguity
problem by incorporating albedo consensus, albedo similarity, and proxy prior
into a unified framework. We avoid the need for spatial constancy of albedo;
instead, we use a new measure for albedo similarity that is based on the albedo
norm profile. Experiments show that our new approach produces state-of-the-art
results from single image with high-fidelity geometry that includes details
such as wrinkles.

31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th