This paper details an empirical study of large image sets taken by static cameras. These images have consistent correlations over the entire image and over time scales of days to ...
To find how many clusters in a sample set is an old yet unsolved problem in unsupervised clustering. Many segmentation methods require the user to specify the number of regions in...
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
Scale-spaces induced by diffusion processes play an important role in many computer vision tasks. Automatically selecting the most appropriate scale for a particular problem is a ...
Automating tools for geo-locating and geo-orienting static cameras is a key step in creating a useful global imaging network from cameras attached to the Internet. We present algo...