Facial expressions are widely used in the behavioral interpretation of emotions, cognitive
science, and social interactions. In this paper, we present a novel method for fully automatic …

Semi-supervised learning concerns the problem of learning in the presence of labeled and
unlabeled data. Several boosting algorithms have been extended to semi-supervised …

In this paper we propose a novel method for human action recognition based on boosted
key-frame selection and correlated pyramidal motion feature representations. Instead of …

Due to the plate formats and multiform outdoor illumination conditions during the image
acquisition phase, it is challenging to find effective license plate detection (LPD) method …

Facial expression recognition is an active research area that finds a potential application in
human emotion analysis. This work presents an illumination independent approach for facial …

To improve the performance of automatic optical inspection (AOI), a new inspection method
for chip component of mounted components on printed circuit boards is developed. In this …

This paper proposes a hybrid-boost learning algorithm for multi-pose face detection and
facial expression recognition. To speed-up the detection process, the system searches the …

Detecting the shape of the non-rigid molten metal during welding, so-called weld pool visual
sensing, is one of the central tasks for automating arc welding processes. It is challenging …

Face recognition in the reality, is a challenging problem, due to varieties in illumination,
background, pose etc. Recently, the deep learning based face recognition algorithm is able …

In this paper the proposed methodology is to recognize Facial expressions of human being
by using Eigen Faces. For recognition of human expression, in this approach we consider …