Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detailed Surface Geometry and Albedo Recovery from RGB-D Video Under
  Natural Illumination   In this paper we present a novel approach for depth map enhancement from an
RGB-D video sequence. The basic idea is to exploit the shading information in
the color image. Instead of making assumption about surface albedo or
controlled object motion and lighting, we use the lighting variations
introduced by casual object movement. We are effectively calculating
photometric stereo from a moving object under natural illuminations. The key
technical challenge is to establish correspondences over the entire image set.
We therefore develop a lighting insensitive robust pixel matching technique
that out-performs optical flow method in presence of lighting variations. In
addition we present an expectation-maximization framework to recover the
surface normal and albedo simultaneously, without any regularization term. We
have validated our method on both synthetic and real datasets to show its
superior performance on both surface details recovery and intrinsic
decomposition.

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The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an