Title:
Example-Based_Automatic_Portraiture
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Description: Abstract In this paper , we present a new approach for automatically generating a life2like port rait
f rom a f rontal face image. We learn the port raiture f rom a set of real artwork examples. Different f rom
previous texture synthesis and image synthesis works that assumed modeling is homogeneous , Inhomo2
geneous Markov Random Field Model is employed as the statistical model , and a non2 paramet ric sam2
pling scheme is used to capture the complex statistical characteristics of face image and corresponding
artist drawing in this paper . In our st rategy , only those pixels corresponding to a port rait point are
sampled. Such a st rategy is crucial for maintaining facial st ructure and guaranteeing coherence of por2
t rait lines. Experimental result s demonst rate the effectiveness and life 2likeness of our approach.
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基于样本学习的肖像画自动生成算法.pdf
