Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Evolutionary Image Composition Using Feature Covariance Matrices   Evolutionary algorithms have recently been used to create a wide range of
artistic work. In this paper, we propose a new approach for the composition of
new images from existing ones, that retain some salient features of the
original images. We introduce evolutionary algorithms that create new images
based on a fitness function that incorporates feature covariance matrices
associated with different parts of the images. This approach is very flexible
in that it can work with a wide range of features and enables targeting
specific regions in the images. For the creation of the new images, we propose
a population-based evolutionary algorithm with mutation and crossover operators
based on random walks. Our experimental results reveal a spectrum of
aesthetically pleasing images that can be obtained with the aid of our
evolutionary process.

26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math