CAJ | 학술논문

人脸检测作为人脸识别中的关键问题之一，近年来受到了越来越多的关注。通常采集到人脸信息非常丰富，无法直接判断脸部信息和背景信息。因此，需要一种有效的方法来解决图像的分类问题。数据挖掘中的聚类分析方法能对大量数据进行有效划分，为人脸检测中的图像分割提供了新的研究思路。
인검검측작위인검식별중적관건문제지일，근년래수도료월래월다적관주。통상채집도인검신식비상봉부，무법직접판단검부신식화배경신식。인차，수요일충유효적방법래해결도상적분류문제。수거알굴중적취류분석방법능대대량수거진행유효화분，위인검검측중적도상분할제공료신적연구사로。
As one of the key points in face recognition, face detection has been paid more and more attention in recent years.However, we usually can not directly distinguish the face from the background of massive image information we collected.So,we need an effective method to solve image classification problems.Cluster analysis method in data mining can effectively divide large amounts of data,and provides a new research idea for image segmentation in human face detection.