Face detection is fundamental for several important applications, such as, face recognition and human-computer interaction. This paper details a novel hierarchical face detector which combines motion, colour and late fusion. Motion segmentation is employed to eliminate background clutter and to reduce the initial search space. Subsequently, skin segmentation is used to determine a candidate fac...

Stable and clear visible facial features are crucial for the tasks in human face perception, such as face detection and tracking. Among other features, the center point between the eyes, or the “Between-the-Eyes” (BTE) has been found to be one of the good choices. In this paper, we propose a simple and fast way of extracting this facial feature from a facial image. By using down-sampling strate...

In this paper, we present a system for anonymous visual communications. Target application is an anonymous video chat. The system is identifying faces in the video sequence by means of face detection or skin detection. The corresponding regions are subsequently scrambled. We investigate several approaches for scrambling, either in the image-domain or in the transform-domain. Experiment results ...

The paper proposes the application of majority voting on the output of several support vector machines in order to select the most suitable learning machine for frontal face detection. The first experimental results indicate a significant reduction of the rate of false positive patterns.

We present a new state-of-the-art approach for face detection. The key idea is to combine face alignment with detection, observing that aligned face shapes provide better features for face classification. To make this combination more effective, our approach learns the two tasks jointly in the same cascade framework, by exploiting recent advances in face alignment. Such joint learning greatly e...

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In this paper, we address the problem of face detection in still images. We propose a fast algorithm for detecting human faces in color images. The algorithm uses color histogram for skin (in the HSV space) in conjunction with edge information to quickly locate faces in a given image. The proposed algorithm has been tested on various real images and its performance is found to be quite satisfac...

In this paper, an application of Eigenvectors, Eigenfaces, and Covariance vectors with the Principle of Component Analysis will be explained. Face Detection and Recognition is an advancing technology of the Electronic and Electrical Engineering Stream with an integration of Mathematics. The invention, working, advancements of Face Detection and Recognition will be discussed in further detail al...