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Received:August 28, 2014 Revised:September 30, 2014
Received:August 28, 2014 Revised:September 30, 2014
中文摘要: 针对复杂背景下的正面人脸检测问题, 提出一种三级级联快速正面人脸检测算法: 第一级使用HSV肤色模型, 通过分析最大肤色连通区, 快速排除非人脸区域; 第二级采用Haar-like特征结合AdaBoost算法定位人脸区域; 最后提出基于局部特征点加权的改进主动形状模型(W-ASM)算法匹配人脸的特征点坐标, 通过68个特征点位置判断当前人脸图像是否是正面人脸. 实验结果表明, 本算法能准确识别出垂直于图像旋转不超过±5°的正面人脸, 每幅图像(640×480)平均用时仅52ms, 满足实时性要求.
Abstract:According to the problem of fast front face detection in complex background, a three cascaded fast front face detection algorithm. was proposed. At the first stage, non face regions were excluded through analysis of the maximum color connected regions using the HSV color model. During the second stage, the face areas were further accurately detected with Haar-like features and Adaboost classification algorithm. At last, an improved active shape model algorithm based on the local feature weighting (W-ASM) was proposed to match face feature points coordinates. Whether the current face image is front face can be judged by the locations of 68 feature points. The experimental results show that, this algorithm can accurately identify the front face perpendicular to the image rotating not more than ±5°. The average detection time of each image (640×480) is only 52ms, which can meet the real-time requirements.
keywords: Face recognition Front face detection Active Shape Model HSV color mode Feature points matching
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唐浩,李小霞.复杂背景下的三级级联快速正面人脸检测算法.计算机系统应用,2015,24(5):147-151
TANG Hao,LI Xiao-Xia.Three Cascaded Fast Front Face Detection Algorithm in Complex Background.COMPUTER SYSTEMS APPLICATIONS,2015,24(5):147-151
唐浩,李小霞.复杂背景下的三级级联快速正面人脸检测算法.计算机系统应用,2015,24(5):147-151
TANG Hao,LI Xiao-Xia.Three Cascaded Fast Front Face Detection Algorithm in Complex Background.COMPUTER SYSTEMS APPLICATIONS,2015,24(5):147-151