1) LPP
保局投影
1.
Locality Preserving Projections (LPP) is based on a nearest neighbor graph which models the local geometrical structure of the image manifold.
保局投影算法的基础是构造一个模拟图像局部结构的最近相邻图,但该最近相邻图并不总能够准确表示图像的流形结构,该文提出了一种基于保局投影的迭代保局投影优化算法。
2.
A Random Sampling Subspace Locality Preserving Projection(RSSLPP) method is proposed to improve the recognition performance of a single Locality Preserving Projection(LPP).
针对单一保局投影(LPP)算法分类识别能力弱的问题,提出了一种随机采样子空间保局投影算法(RSSLPP)。
3.
In view of the problems of feature extraction in face recognition, a new face image feature extraction and recognition method—Gabor Discriminant Locality Preserving Projections (GDLPP) is proposed in this paper.
针对人脸识别中的特征提取问题,本文提出了一种结合Gabor小波特征和判别保局投影的人脸识别算法—GDLPP。
2) locality preserving projections(LPP)
保局投影
1.
Firstly,face images are mapped into low-dimensional manifold subspace using Locality Preserving Projections(LPP).
首先,运用保局投影将图像投影到低维的表情流形子空间,再在流形子空间里对它们进行高阶奇异值分解,最后在个人子空间和表情子空间里完成人脸和表情识别。
3) two-dimensional locality preserving projections(2DLPP)
2维保局投影
1.
A new face image feature extraction and recognition method based on two-dimensional locality preserving projections(2DLPP) was proposed in this paper.
为了避免这种情况,提出了一种直接基于图像矩阵的人脸识别算法——2维保局投影算法。
4) orthogonal LPP
正交保局投影
1.
A new Alternative formulation of orthogonal LPP with Application to Face Recognition;
一种新的正交保局投影人脸识别方法
5) locality preserving projection
局部保持投影
1.
In order to preserve the local structure of the image space,locality preserving projection(LPP) is applied to palmprint recognition.
为了保持掌纹空间的局部结构,运用局部保持投影(LPP)方法进行掌纹识别。
2.
Aiming at the sensitivity of manifold learning, such as locality preserving projection(LPP), to noises or outliers, a robust version of LPP, called Robust LPP (RLPP), was proposed.
针对局部保持投影的流形学习算法对于噪声与异常值的敏感性,提出了一种鲁棒的局部保持投影算法。
3.
This paper proposes a supervised direct locality preserving projection algorithm for image recognition.
提出一种用于图像识别的有监督直接局部保持投影算法,该算法结合样本类别信息,通过同时对角化的方法求解局部保持投影问题,避免矩阵的奇异性。
6) locality preserving projections
局部保持投影
1.
Secondly, uncorrelated locality preserving projections (ULPP) was proposed based on locality preserving projections.
基于局部保持投影的统计不相关位置保持投影。
补充资料：滤波反投影或卷积反投影
滤波反投影或卷积反投影
影像学术语。当代影像学设备进行影像重建的数学方法。在直接用扫描后所获得的投影轨迹剖面图反投影重建出的CT图像中，无法避免角度卷入条纹伪影(angular aliasing streaks)造成的模糊和失真。这种现象与被扫描层面的空间频率中高频信息的损失有关。使用一种精密的数学方法去除这种模糊。称为“展现”(unfolding)或去卷积(deconvolution)，即在反投影前使用一种数学的“滤器”或卷积函数对原始数据进行修正，然后再进行反投影。两步数学处理过程合称为滤波(修正后)反投影或卷积(后)反投影。这种方法的优点是处理过程简单，速度快，所得图像逼真、清晰。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条