CAJ | 학술논문

针对人脸描述性脸型特征分类问题，提出一种新的基于主动形状模型和K近邻算法的脸型分类方法。根据主动形状模型方法定位得到的测试样本人脸边缘轮廓点，经归一化后以其围成区域面积作为人脸脸型特征。采用 K 近邻算法和面型指数实现测试图像的脸型分类。实验结果表明，该方法对人脸姿态变化有一定的鲁棒性，分类结果准确度高且脸型的分类符合人主观描述性判断。
침대인검묘술성검형특정분류문제，제출일충신적기우주동형상모형화K근린산법적검형분류방법。근거주동형상모형방법정위득도적측시양본인검변연륜곽점，경귀일화후이기위성구역면적작위인검검형특정。채용 K 근린산법화면형지수실현측시도상적검형분류。실험결과표명，해방법대인검자태변화유일정적로봉성，분류결과준학도고차검형적분류부합인주관묘술성판단。
Aiming at the classification problem of descriptive facial features,a novel face shape classification method based on active shape model and K nearest neighbor algorithm is proposed.Active shape model is used to extract facial contour points of the test sample,and then the enclosed area of the normalized facial contour points is regard as the facial shape features. Face shape classification of the test face image is realized by using K nearest neighbor algorithm and facial index.The experi-mental results show that this method is robust for pose variation,the classification accuracy is high and classification results are consistent with subj ective j udgments.