基于單視圖的多姿態(tài)人臉圖像生成技術(shù)研究
Research of multi-ose face image synthesis froom a single view
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摘要: 該文提出了一種基于單視圖或小樣本的多姿態(tài)人臉圖像生成技術(shù)，它首先利用一個(gè)特征點(diǎn)集表示人臉，然后基于二元高次多項(xiàng)式函數(shù)最小二乘方法對(duì)人臉各姿態(tài)之間的特征點(diǎn)集坐標(biāo)變化進(jìn)行擬合，形成全局的變形域，最后由單視圖通過變形映射生成多姿態(tài)人臉圖像。實(shí)驗(yàn)結(jié)果表明，利用單視圖和生成的多姿態(tài)圖像進(jìn)行多姿態(tài)人臉識(shí)別，正確率得到大大提高，證明該文人臉圖像生成技術(shù)十分有效。Abstract: An algorithm that can synthesize multi-pose face images from a single view or small samples is proposed in this paper. First, the human face is represented with a dominant point set. Then, the variance of the dominant point set between different poses is fitted based on a least square fitting with a polynomial function and a global morphing field is formed. Finally, multi-pose face images are synthesized by image warping from a single view based on the global morphing field. An experiment of multi-pose face recognition is done based on the single view and synthesized multi-pose images. The results show that its performance is by far superior to those of the traditional methods. Thus, they prove the effectiveness of the algorithm in this paper.
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