Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Registration of Images with Outliers Using Joint Saliency Map   Mutual information (MI) is a popular similarity measure for image
registration, whereby good registration can be achieved by maximizing the
compactness of the clusters in the joint histogram. However, MI is sensitive to
the "outlier" objects that appear in one image but not the other, and also
suffers from local and biased maxima. We propose a novel joint saliency map
(JSM) to highlight the corresponding salient structures in the two images, and
emphatically group those salient structures into the smoothed compact clusters
in the weighted joint histogram. This strategy could solve both the outlier and
the local maxima problems. Experimental results show that the JSM-MI based
algorithm is not only accurate but also robust for registration of challenging
image pairs with outliers.

26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn