An on-line learning method for face association in personal photo collection
Image and Vision Computing
Concurrent photo sequence organization
Multimedia Tools and Applications
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We introduce local feature points to achieve face clustering for consumer photos. After combining eigenfaces with context information like clothes, we further investigate the usage of local feature points to match face images. The relationships between face images are constructed by feature matching and then described as a graph. Outliers in the results of preliminary clustering are detected and are re-clustered according to matching characteristics. We report complete performance comparison for different datasets and show that the proposed method has superior performance than conventional approaches.