Djamel Ait-Boudaoud

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A novel approach for the autonomous virulence adaptation (AVA) of competing populations in a coevolutionary optimization framework is presented. Previous work has demonstrated that setting an appropriate virulence, v, of populations accelerates coevolutionary optimization by avoiding detrimental periods of disengagement. However, since the likelihood of(More)
A novel efficient feature based stereo matching algorithm is presented in this paper. The proposed method links the detected feature points into chains and the matching process is achieved by comparing some of the feature points from different chains. A matching score based on 2 Dimensional Normalised Cross Correlation (2D NCC) is used to determine whether(More)
This paper describes a novel method for representing different facial expressions based on the shape space vector (SSV) of the statistical shape model (SSM) built from 3D facial data. The method relies only on the 3D shape, with texture information not being used in any part of the algorithm, that makes it inherently invariant to changes in the background,(More)
Effective representation and recognition of human faces are essential in a number of applications including human-computer interaction (HCI), biometrics or video conferencing. This paper presents initial results obtained for a novel method of 3-D facial expressions representation based on the shape space vector of the statistical shape model. The(More)
The H.264/multiview video coding (MVC) standard has been developed to enable efficient coding for three-dimensional and multiple viewpoint video sequences. The interview statistical dependencies are utilized and an interview prediction is employed to provide more efficient coding; however, this increases the overall encoding complexity. Motion homogeneity(More)
In the scalable video coding extension of the H.264/AVC standard, an exhaustive search technique is used to select the best coding mode for each macroblock. This technique achieves the highest possible coding efficiency, but it demands a higher video encoding computational complexity which constrains its use in many practical applications. This paper(More)
This paper describes initial results from a novel low dimensional surface parameterisation approach based on a modified iterative closest point (ICP) registration process which uses vertex based principal component analysis (PCA) to incorporate a deformable element into registration process. Using this method a 3D surface is represented by a shape space(More)