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 ...
In this work we empirically study the multi-scale boundary detection problem in natural images. We utilize local boundary cues including contrast, localization and relative contras...
An empirical study of the domain of patch-based learning algorithms for image and video processing is conducted. As patch-based algorithms are commonly used, knowledge of the prop...
Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is us...
The classification performance of nearest prototype classifiers largely relies on the prototype learning algorithms, such as the learning vector quantization (LVQ) and the minimum...