1) individual eigenface subspace
个体特征脸子空间
1.
An approach to face verification based on the integration of individual eigenface subspace and SVD is presented in which the wavelet transform is used to reduce the effect of expression on the face verification.
提出了一种个体特征脸子空间与奇异值特征相结合的人脸验证方法。
2) Face Subspace
人脸特征子空间
3) double eigenface space
双特征脸空间
1.
In order to accelerate processing, we present an advanced method for face detection and recognition based on double eigenface spaces.
运算量是适时人脸检测和识别的关键,本文为此提出了一种基于双特征脸空间的识别系统。
4) characteristic subspace
特征子空间
1.
The characteristic subspace algorithm is used extensively in beam forming, DOA estimation and super-resolution processing because of its reducing dimension effect and robust processing capability.
特征子空间方法由于其降维效果和稳健性的处理能力已广泛应用于波束形成、DOA(波达方向)估计、超分辨处理中。
2.
The characteristic subspace is structured,then the face recognition is implemented in the characteristic subspace.
构造了特征子空间,并在特征子空间内实现脸部识别。
3.
In the paper,author shows that the characteristic subspace of σ is independent on selective methods of bases.
设σ是数域P上的n维向量空间V的线性变换,λ是σ的特征值,证明了σ的特征子空间Vλ与基的取法无关。
5) eigenspace
特征子空间
1.
The decomposition of the eigenspace of the defective matrix and the general form of Jordan chain;
亏损矩阵特征子空间的分解与若当链一般形式
2.
The Eigenspace of Block Triangular Matrix;
分块三角矩阵的一类特征子空间
3.
The definition of eigenvalue and eigenspace of the quadratic matrix equation AX2+BX+C=0 is given in this paper.
给出了二次矩阵方程AX2+BX+C=0的特征值和特征子空间的定义,然后运用其特征子空间的维数或特征向量刻画了该二次矩阵方程存在可对角化解的充要条件。
6) Eigen Subspace
特征子空间
1.
The eigen subspace based tracking method is adaptive to the change of object state and is robust to lighting varia-tion.
基于特征子空间的目标跟踪方法能适应目标状态的变化,并对光照等外部环境不敏感,但通常假定特征子空间的基向量固定,这样不仅需要离线训练,而且在目标姿态发生较大改变时,跟踪精度会降低。
补充资料：寡妇脸子
1.谓一脸苦相，没有欢快的表情。
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