摘要
根据小波域中各图像之间的相关性,提出基于小波变换的多层级图像配准算法。在小波变换域利用位图切割完成多层级匹配,有效地减少了人脸图像中旋转、光照等噪声影响,保持了较高的配准精度。实验结果表明,重建的人脸图像具有较高的识别性能。
Firstly,the face images were segmented into several bitmaps by grayscale value,secondly,wavelet transformation was done on the bitmaps,and registration was finished.Noise such as rotation,light,noise,etc.,were weakened.Registration was done efficiently.Experimental results show that the method presented performs better than the traditional algorithm.
出处
《电脑编程技巧与维护》
2012年第24期95-96,146,共3页
Computer Programming Skills & Maintenance
基金
国家自然科学基金项目(60872057)
浙江省自然科学基金项目(R1090244)
湖州市自然科学资金(2011YZ04)
关键词
小波变换
位图切割
人脸配准
人脸重建
Wavelet transformation
Bitmap cutting
Face Registration
Face Reconstruction