下载地址：
下载地址1（本站为飞网专业下载站，域名：down.cfei.net）
资源简介：
Abstract：In this paper, a new technique coined two-dimensional principal component analysis (2DPCA) is developed for image representation. As opposed to PCA, 2DPCA is based on 2D image matrices rather than 1D vectors so the image matrix does not need to be transformed into a vector prior to feature extraction. Instead, an image covariance matrix is constructed directly using the original image atrices, and its eigenvectors are derived for image feature extraction. To test 2DPCA and evaluate its
飞网下载站，免费下载共享资料，内容涉及教育资源、专业资料、IT资源、娱乐生活、经济管理、办公文书、游戏资料等。
