Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Designing a Color Filter via Optimization of Vora-Value for Making a
  Camera more Colorimetric   The Luther condition states that if the spectral sensitivity responses of a
camera are a linear transform from the color matching functions of the human
visual system, the camera is colorimetric. Previous work proposed to solve for
a filter which, when placed in front of a camera, results in sensitivities that
best satisfy the Luther condition. By construction, the prior art solves for a
filter for a given set of human visual sensitivities, e.g. the XYZ color
matching functions or the cone response functions. However, depending on the
target spectral sensitivity set, a different optimal filter is found.
  This paper begins with the observation that the cone fundamentals, XYZ color
matching functions or any linear combination thereof span the same
3-dimensional subspace. Thus, we set out to solve for a filter that makes the
vector space spanned by the filtered camera sensitivities as similar as
possible to the space spanned by human vision sensors. We argue that the
Vora-Value is a suitable way to measure subspace similarity and we develop an
optimization method for finding a filter that maximizes the Vora-Value measure.
  Experiments demonstrate that our new optimization leads to filtered camera
sensitivities which have a significantly higher Vora-Value compared with
antecedent methods.

21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an