CAJ | 학술논문

为了对日益增多的数码照片进行有效管理，提出并设计一种可以对大量数码照片进行智能分类的相册管理系统。关键技术包括照片附加信息提取、人脸检测、人脸标注、人脸识别和特征匹配，主要通过OpenCV视觉库有效实现。实验表明，该系统可以有效全自动的实现时间分类和人数分类，并通过人机交互的方式半自动实现人物分类和场景分类，有较高的实用价值。
위료대일익증다적수마조편진행유효관리，제출병설계일충가이대대량수마조편진행지능분류적상책관리계통。관건기술포괄조편부가신식제취、인검검측、인검표주、인검식별화특정필배，주요통과OpenCV시각고유효실현。실험표명，해계통가이유효전자동적실현시간분류화인수분류，병통과인궤교호적방식반자동실현인물분류화장경분류，유교고적실용개치。
An album management system which can intelligently classify a large number of digital photos is present and designed to meet the need of the effective management of the growing number of digital photos. The key technologies include extracting the extra information of digital photos, face detection, face annotation, face recognition and feature matching, which are mainly implemented by OpenCV vision library. Experiments show that the system can effectively automatically implement the classification of time and people number, and semi-automatically implement the classification of people and scene by interactive method, which has a high application value.