计算机应用
計算機應用
계산궤응용
COMPUTER APPLICATION
2010年
4期
967-970
,共4页
人脸检测%多姿态%肤色区域%人脸特征%AdaBoost算法%Harr-like特征
人臉檢測%多姿態%膚色區域%人臉特徵%AdaBoost算法%Harr-like特徵
인검검측%다자태%부색구역%인검특정%AdaBoost산법%Harr-like특정
face detection%malti-pose%skin color region%facial feature%AdaBoost algorithm%Hart-like feature
基于人脸特征和AdaBoost算法,提出一种改进的多姿态人脸检测算法.首先利用肤色特征快速排除绝大部分背景区域,然后在肤色区域中搜索眼睛和嘴巴区域,根据眼睛和嘴巴区域的几何特征所确定的人脸方向分割出大致正向的人脸候选区域,最后利用AdaBoost算法对候选区域进行分类.实验表明,算法能实现多姿态人脸的快速检测,而且对脸部表情和遮挡有较强的鲁棒性.
基于人臉特徵和AdaBoost算法,提齣一種改進的多姿態人臉檢測算法.首先利用膚色特徵快速排除絕大部分揹景區域,然後在膚色區域中搜索眼睛和嘴巴區域,根據眼睛和嘴巴區域的幾何特徵所確定的人臉方嚮分割齣大緻正嚮的人臉候選區域,最後利用AdaBoost算法對候選區域進行分類.實驗錶明,算法能實現多姿態人臉的快速檢測,而且對臉部錶情和遮擋有較彊的魯棒性.
기우인검특정화AdaBoost산법,제출일충개진적다자태인검검측산법.수선이용부색특정쾌속배제절대부분배경구역,연후재부색구역중수색안정화취파구역,근거안정화취파구역적궤하특정소학정적인검방향분할출대치정향적인검후선구역,최후이용AdaBoost산법대후선구역진행분류.실험표명,산법능실현다자태인검적쾌속검측,이차대검부표정화차당유교강적로봉성.
An improved multi-pose face detection algorithm based on facial features and AdaBoost algorithm was proposed. Making full use of facial skin color information firstly, most of the background regions could be quickly excluded. After detecting eyes and mouth, the approximate frontal face candidate regions were segmented according to face orientation decided by the geometric features of the eyes and mouth regions. At last, the face candidate regions were classified by AdaBoost algorithm. The experimental results demonstrate that the algorithm can further improve the multi-pose face detection accuracy and is highly robust to facial expression and occlusion.
