thus, the recognition performance of sparse coding is better than traditional eigenface-based methods 稀疏编码能够增加图像特征的类间距离,因此效果要优于传统的特征脸方法。
it introduces the history of face recognition research, especially the statistical-based methods such as the eigenface method and the fisherface method 本文针对这两类方法的不足,提出改进的特征运动算法和标准化lda(lineardiscriminantanalysis)算法。
seme is analyzed and compared with eigenface, pca lda, eigenfeature, and eigenface eigenfeature through experiments . the experimental results show that seme achieves the best performance 本征脸方法取得了如此巨大的成功,以至于成为了人脸识别算法的事实标准和相比较的基准点。
seme is analyzed and compared with eigenface, pca lda, eigenfeature, and eigenface eigenfeature through experiments . the experimental results show that seme achieves the best performance 本征脸方法取得了如此巨大的成功,以至于成为了人脸识别算法的事实标准和相比较的基准点。