一种基于组合降维的图像识别方法

On image recognition based on combinatorial dimension compression

为克服图像识别中传统方法需要进行高维矩阵奇异值分解的困难,提出了先局部降维再总体降维的组合变换方法.ORL人脸图像数据库的实验表明,这一方法不仅减少了运算量,而且能较好地解决人脸这样一类复杂的图像识别问题;总体来说优于传统的基于KL变换的识别方法.

To overcome the difficulty of SVD of high dimension image matrix and improve the performance of image recognition, a new method of combining the local dimension compression with the integral dimension compression is presented. Recognition experiments are implemented on the ORL face database, and the results show that the computing cost is reduced as compared with those of methods based on the KL transform, and that the method presented also has better performance in recognizing the complicated images such as human-face.