Abstract
This chapter presents an overview of the latest computerized artistic portrait rendering techniques. Artistic rendering of portraits can be viewed as an image generating process controlled by two factors. The first one is face fidelity, meaning a rendered portrait image should preserve a certain amount of the original face’s information. The second factor is the artistic style chosen to simulate different media such as sketch and painting. In the literature, portrait rendering algorithms either adopt different models and data structures to represent the facial information or use different graphical elements and compositional methods to simulate various media and styles. These two factors essentially reveal the two principles in portraiture, namely the pursuits of likeness and aesthetic.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-1-4471-4519-6_18
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Acknowledgements
We would like to thank Meng Meng, Jinli Suo and Yaling Yang for discussions and help with the experimental data and figures during studying the likeness and aesthetic principles in portrait rendering, and Amy Morrow for suggestions on the presentation of this chapter. This work has been supported by ONR MURI Grant N000141010933 and DARPA Award FA 8650-11-1-7149.
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Zhao, M., Zhu, SC. (2013). Artistic Rendering of Portraits. In: Rosin, P., Collomosse, J. (eds) Image and Video-Based Artistic Stylisation. Computational Imaging and Vision, vol 42. Springer, London. https://doi.org/10.1007/978-1-4471-4519-6_12
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