This paper focuses on detection of eye, calculating the eye-blink rate of a person and then
determining his level of attentiveness. It is established by researchers that the level of …

Eyes detection is a very interesting field of research that verifies the presence of eyes and
locates their positions in an image. Similarly, it is often the first step in such applications such …

In this paper, we propose a robust face recognition method to provide fast response on a
mobile device by selectively generating Gabor features. The Gabor filter has been popularly …

We propose a data reconstruction method using subspace analysis for gas classification in
an electronic nose system. A noise generated by defects in sensors or by environmental …

We present an effective portable e-nose system that performs well even in noisy
environments. Considering the characteristics of the e-nose data, we use an image …

There have been decades of research on face recognition, and the performance of many
state-of-the-art face recognition algorithms under well-conditioned environments has …

Biased discriminant analysis (BDA), which extracts discriminative features for one-class
classification problems, is sensitive to outliers in negative samples. This study focuses on …

We present a composite vector selection method for an effective electronic nose system that
performs well even in noisy environments. Each composite vector generated from a …

We propose a new confidence measure to evaluate the eye detection results and combine
two different eye detectors. The confidence for the results of eye detection is measured by …

In face recognition, most appearance-based methods require several images of each
person to construct the feature space for recognition. However, in the real world it is difficult …