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Proceedings Example-based Automatic Portraiture

Author(s): Hong Chen, Lin Liang, Ying-Qing Xu, Heung-Yeung Shum, Nan-Ning Zheng.
Proceedings: The 5th Asian Conference on Computer Vision (ACCV2002), Melbourne, Australia, 23–25 January, 2002.
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In this paper, we present an example-based approach for automatically generating a life-like portrait from a frontal face image. Based on an inhomogeneous Markov Random Field Model, an inhomogeneous non-parametric sampling scheme is used to capture the complex statistical characteristics of face image and corresponding portrait. In our approach, only those pixels corresponding to a portrait point are sampled. Such a strategy is crucial for maintaining facial structure and guaranteeing coherence of portrait lines. Experimental results demonstrate the effectiveness and lifelikeness of our approach.

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