计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
5期
64-67,214
,共5页
人脸识别%Kinect%Gabor滤波器%线性判别
人臉識彆%Kinect%Gabor濾波器%線性判彆
인검식별%Kinect%Gabor려파기%선성판별
Face recognition%Kinect%Gabor filter%Linear discriminant
实现一个基于Kinect体感器的实时人脸识别系统。利用先进的Kinect传感器跟踪视频序列中的人脸特征参数，并可自动分割。通过Gabor滤波器提取特征，运用PCA、LDA特征降维和最近邻准则等实现最终人脸识别和分类。测试结果表明该系统对于视频中多姿态低分辨率的人脸有较好识别效果。这对于实时人脸识别系统的设计，尤其是对现今新兴的基于体感器的人机交互应用，有重要借鉴意义。
實現一箇基于Kinect體感器的實時人臉識彆繫統。利用先進的Kinect傳感器跟蹤視頻序列中的人臉特徵參數，併可自動分割。通過Gabor濾波器提取特徵，運用PCA、LDA特徵降維和最近鄰準則等實現最終人臉識彆和分類。測試結果錶明該繫統對于視頻中多姿態低分辨率的人臉有較好識彆效果。這對于實時人臉識彆繫統的設計，尤其是對現今新興的基于體感器的人機交互應用，有重要藉鑒意義。
실현일개기우Kinect체감기적실시인검식별계통。이용선진적Kinect전감기근종시빈서렬중적인검특정삼수，병가자동분할。통과Gabor려파기제취특정，운용PCA、LDA특정강유화최근린준칙등실현최종인검식별화분류。측시결과표명해계통대우시빈중다자태저분변솔적인검유교호식별효과。저대우실시인검식별계통적설계，우기시대현금신흥적기우체감기적인궤교호응용，유중요차감의의。
A real-time face recognition system based on Kinect body sensor is implemented.We first use the advanced Kinect sensor to track the face feature parameters in video sequence,and they can be automatically segmented.Through Gabor filter to extract features, applying the principal component analysis and linear discriminant analysis to deduct the dimensionalities of features,and using nearest neighbour criterion,the final face recognition and classification is achieved.Testing results demonstrate that the system has preferably good recognition effect on multi-view low-resolution face in video.This provides an important reference meaning for the design of real-time face recognition system,especially for the rising body sensor-based interactive applications.
