The paper deals with completeness theorems on Musielak-Orlicz spaces of vector valued functions. Generally speaking, those spaces are not assumed to be locally convex. There are given sufficient conditions for the Mus...The paper deals with completeness theorems on Musielak-Orlicz spaces of vector valued functions. Generally speaking, those spaces are not assumed to be locally convex. There are given sufficient conditions for the Musielak-Orlicz space to be complete in terms of the function Ф.展开更多
LDP(局部方向模式)一定程度上解决了LBP对噪声敏感的问题,在人脸识别中取得了不错的效果。然而,LDP需要计算8个方向的边缘,且对排序后的边缘响应进行编码,耗时较长。FLDP算子(Fast local directional pattern)是LDP算子的改进方案。FLD...LDP(局部方向模式)一定程度上解决了LBP对噪声敏感的问题,在人脸识别中取得了不错的效果。然而,LDP需要计算8个方向的边缘,且对排序后的边缘响应进行编码,耗时较长。FLDP算子(Fast local directional pattern)是LDP算子的改进方案。FLDP算子采用较少的边缘模板和较快的编码方案,在纹理分类中取得了明显的效果.本文对FLDP算子在人脸识别中的应用进行了分析。展开更多
文摘The paper deals with completeness theorems on Musielak-Orlicz spaces of vector valued functions. Generally speaking, those spaces are not assumed to be locally convex. There are given sufficient conditions for the Musielak-Orlicz space to be complete in terms of the function Ф.
文摘LDP(局部方向模式)一定程度上解决了LBP对噪声敏感的问题,在人脸识别中取得了不错的效果。然而,LDP需要计算8个方向的边缘,且对排序后的边缘响应进行编码,耗时较长。FLDP算子(Fast local directional pattern)是LDP算子的改进方案。FLDP算子采用较少的边缘模板和较快的编码方案,在纹理分类中取得了明显的效果.本文对FLDP算子在人脸识别中的应用进行了分析。
