This paper presents face recognition results obtained using a multi-classifier system (MCS) with Borda count voting. Experiments were conducted on complete sections of the FERET face database with 4 different algorithms: embedded HMM, DCT, EigenFaces and EigenObjects. Particular classifier ensembles yielded almost 6% of improvement over the individual techniques. In order to facilitate experime...

Multi-Dimensional Dynamic Time Warping for Image Texture Similarity p. 23 Audio-to-Visual Conversion Via HMM Inversion for Speech-Driven Facial Animation p. 33 Discriminant Eigenfaces: A New Ranking Method for Principal Components Analysis p. 43 Distributed AI: Autonomous Agents, Multi-Agent Systems and Game Theory Enhancing the Interaction between Agents and Users p. 53 Re-routing Agents in an...

In this paper a tool system with wavelet support vector machine (WSVM) under dimension reduction for face recognition is proposed. Eigenfaces and fisherfaces are the major methods used to reduce the dimension of face images in the proposed face recognition tool system. At the same time, noise interference image cases, namely Gaussian noise, with no ears and no eyes are also considered in this p...

A new direction in improving modern dialogue systems is to make a human-machine dialogue more similar to a human-human dialogue. This can be done by adding more input modalities, e.g. facial expression recognition. A common problem in a human-machine dialogue where the angry face may give a clue is the recurrent misunderstanding of the user by the system. This paper describes recognizing facial...

There are hidden analogies between two dissimilar research areas: face recognition and speech recognition. The standard representations for faces and voices misleadingly suggest that they have a high number of degrees of freedom. However, human faces have two eyes, a nose, and a mouth in predictable locations; such constraints ensure that possible images of faces occupy a tiny portion of the sp...

Face Recognition has crucial effects in daily life especially for security purposes and their tasks are actively being used for many applications. In this study, we introduce a hybrid face recognition technique, consisting of two main parts namely feature extraction and classification. In the first part, as feature extracting techniques, we benefit from Eigenfaces method which is based on Princ...

The objective of this work is to provide an efficient face recognition scheme useful for video indexing applications. In particular we are addressing the following problem: given a set of known images and given a video sequence to be indexed, find where the corresponding persons appear in the sequence. Conventional face detection schemes are not well suited for this application and alternate an...

A new direction in improving modern dialogue systems is to make a human-machine dialogue more similar to a human-human dialogue. This can be done by adding more input modalities. One additional modality for automatic dialogue systems is the facial expression of the human user. A common problem in a human-machine dialogue where the angry face may give a clue is the recurrent misunderstanding of ...

This paper describes an algorithm for human tracking using vision sensing, specially designed for a human machine interface of a mobile robotic platforms or autonomous vehicles. The solution presents a clear improvement on a tracking algorithm achieved by using a machine learning approach for visual object detection and recognition for data association. The system is capable of processing image...

In this paper we investigate the use of facial skin mark information for biometric person verification. We performed statistical analysis of the facial skin mark information. The position, size and color intensity of the skin marks are considered as features for skin mark based face matching. Developed facial skin mark matcher has good performance, but can not be applied to faces with no detect...