An automatic portrait system based on and-or graph representation

Authors:
Feng Min;Jin-Li Suo;Song-Chun Zhu;Nong Sang
Affiliations:
IPRAI, Huazhong University of Science and Technology, China and Lotus Hill Institute for Computer Vision and Information Science, China;Graduate University of Chinese Academy of Sciences, China and Lotus Hill Institute for Computer Vision and Information Science, China;Departments of Statistics and Computer Science, University of California and Lotus Hill Institute for Computer Vision and Information Science, China;IPRAI, Huazhong University of Science and Technology, China
Venue:
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Year:
2007

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Abstract

In this paper, we present an automatic human portrait system based on the And-Or graph representation. The system can automatically generate a set of life-like portraits in different styles from a frontal face image. The system includes three subsystems, each of which models hair, face and collar respectively. The face subsystem can be further decomposed into face components: eyebrows, eyes, nose, mouth, and face contour. Each component has a number of distinct sub-templates as a leaf-node in the And-Or graph for portrait. The And-Or graph for portrait is like a "mother template" which produces a large set of valid portrait configurations, which is a "composite templates" made of a set of sub-templates. Our approach has three novel aspects:(1) we present an And-Or graph for portrait that explains the hierarchical structure and variability of portrait and apply it into practice; (2) we combine hair, face and collar into a system that solves a practical problem; (3) The system can simultaneously generate a set of impressive portraits in different styles. Experimental results demonstrate the effectiveness and life-likeness of our approach.