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Example-based Caricature Synthesis via Feature Deviation Matching

The techniques of generating a caricature corresponding to a face picture are developing rapidly these years. In this paper, we proposed a new example-based caricature synthesis technique based on feature deviation matching. Existing methods require building databases of face picture-caricature teaching pairs, suffering from the problem that it is very difficult to collect a large enough database of such teaching pairs. The proposed method solves the problem by establishing the correspondence of facial features between the example caricatures and the input face picture based on their deviations from the average in their feature vector spaces. Experiments are performed to validate that the proposed method has the potential to produce results of roughly equivalent or higher quality to the results of using face picture-caricature teaching pairs.