Face sketch synthesis algorithm based on E-HMM and selective ensemble
Face sketch synthesis algorithm based on E-HMM and selective ensemble
复制标题
基于E-HMM和选择性集成的人脸素描合成算法
DOI：
10.1109/tcsvt.2008.918770
复制
发表时间：
2008-04-01
影响因子：
8.4
通讯作者：
Tian, Chunna
中科院分区：
文献类型：
--
作者：
Gao, Xinbo;Zhong, Juanjuan;Tian, Chunna
人脸素描合成是人脸素描-照片识别系统的重要组成部分。提出了一种基于嵌入式隐马尔可夫模型（E-HMM）和选择性集成策略的草图自动合成算法。首先，采用E-HMM模型来建模草图与其对应的照片之间的非线性关系。然后基于几个学习的模型，为给定的照片生成一系列伪草图。最后，这些伪草图融合在一起，选择性集成策略，合成一个更精细的人脸伪草图。实验结果表明，该算法在训练样本较少的情况下，取得了满意的草图合成效果。
Sketch synthesis plays an important role in face sketch-photo recognition system. In this manuscript, an automatic sketch synthesis algorithm is proposed based on embedded hidden Markov model (E-HMM) and selective ensemble strategy. First, the E-HMM is adopted to model the nonlinear relationship between a sketch and its corresponding photo. Then based on several learned models, a series of pseudo-sketches are generated for a given photo. Finally, these pseudo-sketches are fused together with selective ensemble strategy to synthesize a finer face pseudo-sketch. Experimental results illustrate that the proposed algorithm achieves satisfactory effect of sketch synthesis with a small set of face training samples.