Half Profile Face Image Clustering Based on Feature Points

In this paper the problem of hierarchical half profile face image clustering is considered. In order to solve this problem the computer vision methods based on a different local feature detectors like: Harris, BRISK, SURF, SIFT and FSIFT have been examined. For image clustering task the agglomerative hierarchical clustering procedure based on a dissimilarity matrix have been used. The achieved results have been compared to each other.

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