This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
Owing to the great computation complexity of the ME (motion estimation) in video coding, a lot of fast ME algorithms have been proposed in literature. Most of them are designed ba...
Locating eyes in face images is an important step for automatic face analysis and recognition. In this paper, we present a novel approach for eye detection without finding the fa...
Large amount of images need an efficient way of retrieving them. The usual approach of manually annotating images and/or providing a syntactic retrieval capability lacks flexibi...