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The combined use of linear projection algorithms with a variant of dynamic link architecture based on the multi-scale morphological dilation-erosion is proposed for face verification. The performance of the combined scheme is evaluated in terms of the receiver operating characteristic (ROC) for several threshold selections on the matching error in the M2VTS database. The experimental results indicate...
In this paper, we investigate the use of discriminant feature selection techniques in the elastic graph matching (EGM) algorithm. State of the art and novel discriminant dimensionality reduction techniques are used in the node feature vectors in order to extract discriminant features. We illustrate the improvements in performance in frontal face verification using a modified multiscale morphological...
Subspace learning (SL) is one of the most useful tools for image analysis and recognition. A large number of such techniques have been proposed utilizing a priori knowledge about the data. In this paper, new subspace learning techniques are presented that use symmetry constraints in their objective functions. The rational behind this idea is to exploit the a priori knowledge that geometrical symmetry...
In this paper we propose a novel algorithm for face clustering using spectral graph clustering in order to split and merge a similarity graph. The proposed method makes use of the mutual information-based image similarity. Face clusters are formed based on spectral graph clustering in a two step process. We begin by partitioning the dataset into clusters. A novel adaptive way is proposed for spectral...
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