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确定区域的人脸彩色传递 被引量:3

Face color transfer for specified image region
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摘要 在对整幅图像色彩传递算法的基础上,提出了确定区域的人脸彩色传递法。首先利用改进的主动形状模型(ASM)方法定位人脸特征点,进而利用区域生长法确定人脸区域。在将参考图像和目标图像(彩色或灰度图)转换到去相关的对立色空间(lαβ颜色空间)后,对于彩色目标图像,分别调整肤色区域图各通道的均值和标准差;对于灰度目标图像,用亮度邻域统计量匹配的方法在参考图像中选取匹配点,并将匹配点的颜色赋值给目标图像中的对应点。最后,把传递结果转换到RGB颜色空间显示。实验结果表明,该方法能有效传递肤色,形成自然逼真的彩色人脸图像。 We present a new method to transfer face color automatically.Based on color transfer for the whole image,we employ face color transfer for specific regions.First,the method uses improved ASM (Active Shape Model) to locate facial feature points,and the region growing to get the facial region.After transforming reference image and target image (either grayscale or chromatic) into de-correlated color space (lαβ space),for chromatic image,the mean value and standard deviation of each color channel in the complexion region are adjusted;for grayscale image,matching reference pixels for each pixel of the grayscale image are determined using brightness matching neighborhood statistics.Then chromatic values of the matching reference pixels are averaged and transferred to the corresponding grayscale pixel.Experiment results show that our method could transfer face color effectively,forming natural and vivid chromatic face image.
作者 王晶 苏光大
出处 《光电子.激光》 EI CAS CSCD 北大核心 2010年第1期116-119,共4页 Journal of Optoelectronics·Laser
基金 国家"十一五"科技支撑计划资助项目(2006BAK08B07)
关键词 肤色传递 主动形状模型(ASM) 区域生长 色彩传递 人脸特征点提取 lαβ颜色空间 facial color transfer ASM region growing color transfer human facial features lαβ color space
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