| 基于OpenCV 的智能相册系统 |
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| 引用本文： | 刘云鹏,李瑾,潘闻.基于OpenCV 的智能相册系统[J].计算机系统应用,2014,23(9):61-64. |
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| 作者姓名： | 刘云鹏 李瑾 潘闻 |
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| 作者单位： | 浙江万里学院 计算机与信息学院, 宁波 315100;浙江万里学院 法学院, 宁波 315100;国网浙江宁波市鄞州区供电公司, 宁波 315100 |
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| 基金项目： | 宁波市自然科学基金（2013A610069）；浙江省教改项目（jg2013135） |
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| 摘 要： | 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.
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| 关 键 词： | 智能相册 OpenCV 人脸检测 人脸识别 特征匹配 |
| 收稿时间： | 2014/1/19 0:00:00 |
| 修稿时间： | 3/3/2014 12:00:00 AM |
Smart Album Based on OpenCV |
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| LIU Yun-Peng,LI Jin and PAN Wen.Smart Album Based on OpenCV[J].Computer Systems& Applications,2014,23(9):61-64. |
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| Authors: | LIU Yun-Peng LI Jin and PAN Wen |
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| Affiliation: | School of Law, Zhejiang Wanli University, Ningbo 315100, China;College of Computer Science and Information Technology, Zhejiang Wanli University, Ningbo 315100, China;State Grid Corporation of China, Zhejiang Ningbo Yinzhou Power Company, Ningbo 315100, China |
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| Abstract: | 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. |
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| Keywords: | smart album OpenCV face detection face recognition feature matching |
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