基于人脸检测和图像分割的人像提取算法

Chongyi Yang, Wanyu Huang, Ruoqi Zhang, Rui Kong
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引用次数: 2

摘要

针对公民执照照片采集中的一系列问题,本文提出了基于人脸检测技术和最先进的图像分割算法的人脸肖像提取算法。针对一幅输入图像,其前景是一个大小不固定的人,背景是各种复杂的背景,我们首先使用Haar&Adaboost人脸检测算法作为预处理方法,将图像分成不同的子系统,得到一个大小固定的人脸图像。然后我们使用GrabCut和closed-form算法对预处理后的图像进行分割,输出满足我们要求的图像(即固定尺寸和固定背景)。目前已经实现了GrabCut和闭形算法,两者都有各自的优点和不足。
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Portrait Extraction Algorithm Based on Face Detection and Image Segmentation
Aiming to solve a series of problems in photo collection over citizen’s license, this paper proposes Portrait Extraction Algorithm over our face based on facial detection technology and state-of-the-art image segmentation algorithm. Considering an input image where the foreground stands a man with unfixed size and its background is all sorts of complicated background, firstly we use Haar&Adaboost facial detection algorithm as a preprocessing method so as to divide the image into different sub-systems, and we get a fix-sized image of human face. Then we use GrabCut and closed-form algorithm to segment the preprocessed image and output an image which satisfies our requirements (i.e. the fixed size and fixed background). Up to now the GrabCut and closed-form algorithm has been realized, both of which have its own advantages and shortages.
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