This investigation develops an efficient face detection scheme that can detect multiple faces in color images with complex environments and non-uniform illumination conditions. The proposed scheme comprises two stages. The first stage adopts YES color and triangle-based segmentation to search potential face regions. The second stage involves face verification using a weighting mask function. Th...

In this article we present a novel approach to detect face in color images. Many researchers concentrated on this problem and the literature about this subject is extremely wide. We thought to decompose the overall problem into two intuitive sub-problems: the research of pixels have skin color in the original image and the analysis of pixels portions resulting, by means of a neural classifier. ...

We present work which organises personal digital photo collections based on contextual information, such as time and location, combined with content-based analysis such as face detection and other feature detectors. The MediAssist demonstration system illustrates the results of our research into digital photo management, showing how a combination of automatically extracted context and content-b...

We propose a robust method for face detection based on the assumption that face can be represented by arrangements of automatically detectable discriminative regions. The appearance of face is modelled statistically in terms of local photometric information and the spatial relationship of the discriminative regions. The spatial relationship between these regions serves mainly as a preliminary e...

In this paper is proposed a hybrid face detector that combines the high processing speed of an Asymmetrical Adaboost Cascade Detector with the high detection rate of a Wavelet Bayesian Detector. This integration is achieved by incorporating this last detector in the middle stages of the cascade detector. Results of the application of the proposed detector to a standard face detection database a...

This paper presents a segmentation scheme for automatic detection of human face in color video sequence. The method relies on a three-step procedure. First, regions are detected which are likely to contain human skin in the color image. In the second step, differences in regions produced by motion in the video sequence are detected. In the final step, Karhunen-Loeve transformation is used to pr...

Pseudo-semantic labeling represents a novel approach for automatic content description of video. This information can be used in the context of a video database to improve browsing and searching. In this paper we will describe our work on using face detection techniques for pseudo-semantic labeling. We will present our results using a database of MPEG sequences.

Previous studies on face detection in video footages show that segmenting faces accurately and reliably is often hard to succeed, leading to interactive manipulation. This paper presents a simple and practical face detecting and identifying system in video footages from input key face images with focus on segmentation. Each time the scene change is detected the system tries to find a similar fa...

Multiplayer online games (MOGs) have become increasingly popular because of the opportunity they provide for collaboration, communication, and interaction. However, compared with ordinary human communication, MOG still has several limitations, especially in communication using facial expressions. Although detailed facial animation has already been achieved in a number of MOGs, players have to u...

The objective of this work is to provide a simple and yet efficient tool to detect human faces in video sequences. This information can be very useful for many applications such as video indexing and video browsing. In particular the paper will focus on the significant improvements made to our face detection algorithm presented in [l]. Specifically, a novel approach to retrieve skin-like homoge...