会议专题

The Design and Implementation of Effective Face Detection and Recognition System

In the paper, a face detection and recognition system (FDR.S) based on video sequences and still image is proposed. It uses the AdaBoost algorithm to detect human face in the image or frame, adopts Discrete Cosine Transforms (DCT) for feature extraction and recognition in face image. The related technologies are firstly outlined. Then, the system requirements and UML use case diagram are described. In addition, the paper mainly introduces the design solution and key procedures. The FDRSs source-code is built in VC++, Standard Template Library (STL) and Intel Open Source Computer Vision Library (OpenCV).

Face Detection Face Recognition System OpenCV STL SQL Server

Yigui SUN

School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China

国际会议

Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

成都

英文

616-620

2011-04-15(万方平台首次上网日期,不代表论文的发表时间)